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Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Vaclav Snasel,Deepak Gupta,Ashish Khanna
  • Publisher :Unknown
  • Release Date :2020-03-05
  • Total pages :250
  • ISBN : 9780128187005
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Summary : Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snášel,Indrajit Pan,Debashis De
  • Publisher :Unknown
  • Release Date :2019-10-01
  • Total pages :220
  • ISBN : 9780429842665
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Summary : Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence
  • Author : Yuehui Chen,Ajith Abraham
  • Publisher :Unknown
  • Release Date :2009-11-27
  • Total pages :206
  • ISBN : 9783642047398
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Summary : Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems
  • Author : Emilio S. Corchado Rodriguez,Vaclav Snasel,Ajith Abraham,Michal Wozniak,Manuel Grana,Sung-Bae Cho
  • Publisher :Unknown
  • Release Date :2012-03-21
  • Total pages :606
  • ISBN : 9783642289309
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Summary : The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.

Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence
  • Author : Janusz Kacprzyk,Witold Pedrycz
  • Publisher :Unknown
  • Release Date :2015-05-28
  • Total pages :1634
  • ISBN : 9783662435052
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Summary : The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence
  • Author : Yuehui Chen,Ajith Abraham
  • Publisher :Unknown
  • Release Date :2009-11-03
  • Total pages :206
  • ISBN : 3642047386
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Summary : Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Computational Intelligence

Computational Intelligence
  • Author : Mircea Gh. Negoita,Daniel Neagu,Vasile Palade
  • Publisher :Unknown
  • Release Date :2005-02-17
  • Total pages :213
  • ISBN : 3540232192
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Summary : Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Parameter Learning of Bayesian Network by Hybrid Computational Intelligence Approach

Parameter Learning of Bayesian Network by Hybrid Computational Intelligence Approach
  • Author : Honghua Dai,Gang Li,Yiqing Tu
  • Publisher :Unknown
  • Release Date :2002
  • Total pages :6
  • ISBN : OCLC:223344145
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Summary :

Illustrated Computational Intelligence

Illustrated Computational Intelligence
  • Author : Priti Srinivas Sajja
  • Publisher :Unknown
  • Release Date :2020-12-27
  • Total pages :225
  • ISBN : 9811595887
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Summary : This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snásel,Ashish Khanna,Deepak Gupta
  • Publisher :Unknown
  • Release Date :2020-03-06
  • Total pages :252
  • ISBN : 9780128186992
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Summary : Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies
  • Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
  • Publisher :Unknown
  • Release Date :2020-11-30
  • Total pages :306
  • ISBN : 9780128222263
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Summary : Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Hybrid Metaheuristics

Hybrid Metaheuristics
  • Author : Christian Blum,Andrea Roli,Michael Sampels
  • Publisher :Unknown
  • Release Date :2008-06-24
  • Total pages :290
  • ISBN : 9783540782957
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Summary : Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.

Hybrid Intelligence for Image Analysis and Understanding

Hybrid Intelligence for Image Analysis and Understanding
  • Author : Siddhartha Bhattacharyya,Indrajit Pan,Anirban Mukherjee,Paramartha Dutta
  • Publisher :Unknown
  • Release Date :2017-10-02
  • Total pages :464
  • ISBN : 9781119242925
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Summary : 13.3.1 Preprocessing of Breast Cancer Image

Soft Computing for Hybrid Intelligent Systems

Soft Computing for Hybrid Intelligent Systems
  • Author : Oscar Castillo,Patricia Melin,Witold Pedrycz
  • Publisher :Unknown
  • Release Date :2008-08-25
  • Total pages :448
  • ISBN : 9783540708117
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Summary : We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Hybrid Intelligence for Social Networks

Hybrid Intelligence for Social Networks
  • Author : Hema Banati,Siddhartha Bhattacharyya,Ashish Mani,Mario Köppen
  • Publisher :Unknown
  • Release Date :2017-11-28
  • Total pages :327
  • ISBN : 9783319651392
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Summary : This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Hybrid Intelligent Systems

Hybrid Intelligent Systems
  • Author : Ajith Abraham,Sang Yong Han,Salah A. Al-Sharhan,Hongbo Liu
  • Publisher :Unknown
  • Release Date :2015-12-09
  • Total pages :316
  • ISBN : 3319272209
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Summary : This book is devoted to the hybridization of intelligent systems which is a promising research field of modern computational intelligence concerned with the development of the next generation of intelligent systems. This Volume contains the papers presented in the Fifteenth International conference on Hybrid Intelligent Systems (HIS 2015) held in Seoul, South Korea during November 16-18, 2015. The 26 papers presented in this Volume were carefully reviewed and selected from 90 paper submissions. The Volume will be a valuable reference to researchers, students and practitioners in the computational intelligence field.

Hybrid Computational Intelligence Systems Based on Statistical and Neural Networks Methods for Time Series Forecasting

Hybrid Computational Intelligence Systems Based on Statistical and Neural Networks Methods for Time Series Forecasting
  • Author : Saeed Matroushi
  • Publisher :Unknown
  • Release Date :2011
  • Total pages :308
  • ISBN : OCLC:760070839
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Summary :

Hybrid Intelligent Systems

Hybrid Intelligent Systems
  • Author : Larry R. Medsker
  • Publisher :Unknown
  • Release Date :1995-06-30
  • Total pages :298
  • ISBN : UOM:39015034525447
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Summary : Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
  • Author : Oscar Castillo,Patricia Melin
  • Publisher :Unknown
  • Release Date :2019-11-23
  • Total pages :362
  • ISBN : 9783030341350
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Summary : This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Soft Computing for Hybrid Intelligent Systems

Soft Computing for Hybrid Intelligent Systems
  • Author : Oscar Castillo,Patricia Melin,Witold Pedrycz
  • Publisher :Unknown
  • Release Date :2008-09-10
  • Total pages :448
  • ISBN : 9783540708124
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Summary : We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
  • Publisher :Unknown
  • Release Date :2016-09-20
  • Total pages :506
  • ISBN : 9780128044377
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Summary : Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice