Artificial Intelligence Systems Based On Hybrid Neural Networks

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Artificial Intelligence Systems Based on Hybrid Neural Networks

Author : Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko
Publisher : Springer Nature
Page : 527 pages
File Size : 52,8 Mb
Release : 2020-09-03
Category : Technology & Engineering
ISBN : 9783030484538

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Artificial Intelligence Systems Based on Hybrid Neural Networks by Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko Pdf

This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Hybrid Neural Systems

Author : Stefan Wermter,Ron Sun
Publisher : Springer
Page : 408 pages
File Size : 41,6 Mb
Release : 2006-12-30
Category : Medical
ISBN : 9783540464174

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Hybrid Neural Systems by Stefan Wermter,Ron Sun Pdf

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 785 pages
File Size : 54,8 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540876557

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Hybrid Artificial Intelligence Systems by Emilio Corchado,Ajith Abraham Pdf

This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.

Hybrid Artificial Intelligent Systems, Part I

Author : Manuel Grana Romay,Emilio Corchado,M. Teresa Garcia Sebastian
Publisher : Springer Science & Business Media
Page : 634 pages
File Size : 51,6 Mb
Release : 2010-06-11
Category : Computers
ISBN : 9783642137686

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Hybrid Artificial Intelligent Systems, Part I by Manuel Grana Romay,Emilio Corchado,M. Teresa Garcia Sebastian Pdf

This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.

Hybrid Neural Network and Expert Systems

Author : Larry R. Medsker
Publisher : Springer Science & Business Media
Page : 241 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461527268

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Hybrid Neural Network and Expert Systems by Larry R. Medsker Pdf

Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.

Innovations in Hybrid Intelligent Systems

Author : Emilio Corchado,Juan Manuel Corchado Rodríguez,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 498 pages
File Size : 54,5 Mb
Release : 2007-12-22
Category : Computers
ISBN : 9783540749721

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Innovations in Hybrid Intelligent Systems by Emilio Corchado,Juan Manuel Corchado Rodríguez,Ajith Abraham Pdf

This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.

Hybrid Artificial Intelligence Systems

Author : Emilio Corchado,Xindong Wu,Erkki Oja,Bruno Baruque
Publisher : Springer
Page : 715 pages
File Size : 44,7 Mb
Release : 2009-06-22
Category : Computers
ISBN : 9783642023194

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Hybrid Artificial Intelligence Systems by Emilio Corchado,Xindong Wu,Erkki Oja,Bruno Baruque Pdf

The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present and discuss the latest th- retical advances and real-world applications in this exciting research field. This volume of Lecture Notes in Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2009 held at the University of Salamanca, Salamanca, Spain, June 2009. Since its inception, the main aim of the HAIS conferences has been to establish a broad and interdisciplinary forum for hybrid artificial intelligence systems and asso- ated learning paradigms, which are playing increasingly important roles in a large number of application areas.

Introduction to Hybrid Intelligent Networks

Author : Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen
Publisher : Springer
Page : 292 pages
File Size : 52,9 Mb
Release : 2019-02-01
Category : Computers
ISBN : 9783030021610

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Introduction to Hybrid Intelligent Networks by Zhi-Hong Guan,Bin Hu,Xuemin (Sherman) Shen Pdf

This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.

Hybrid Architectures for Intelligent Systems

Author : Abraham Kandel,Gideon Langholz
Publisher : CRC Press
Page : 448 pages
File Size : 43,6 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9781000102949

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Hybrid Architectures for Intelligent Systems by Abraham Kandel,Gideon Langholz Pdf

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

Hybrid Neural Systems

Author : Stefan Wermter,Ron Sun
Publisher : Springer
Page : 408 pages
File Size : 50,9 Mb
Release : 2000-03-29
Category : Medical
ISBN : 3540673059

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Hybrid Neural Systems by Stefan Wermter,Ron Sun Pdf

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

Hybrid Intelligent Systems

Author : Larry R. Medsker
Publisher : Springer
Page : 320 pages
File Size : 52,6 Mb
Release : 1995-06-30
Category : Computers
ISBN : UOM:39015034525447

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Hybrid Intelligent Systems by Larry R. Medsker Pdf

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 Neural Networks

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 120 pages
File Size : 41,9 Mb
Release : 2023-06-20
Category : Computers
ISBN : PKEY:6610000468591

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Hybrid Neural Networks by Fouad Sabry Pdf

What Is Hybrid Neural Networks The phrase "hybrid neural network" can refer to either biological neural networks that interact with artificial neuronal models or artificial neural networks that also have a symbolic component. Both of these interpretations are possible. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Hybrid neural network Chapter 2: Connectionism Chapter 3: Computational neuroscience Chapter 4: Symbolic artificial intelligence Chapter 5: Neuromorphic engineering Chapter 6: Recurrent neural network Chapter 7: Neural network Chapter 8: Neuro-fuzzy Chapter 9: Spiking neural network Chapter 10: Hierarchical temporal memory (II) Answering the public top questions about hybrid neural networks. (III) Real world examples for the usage of hybrid neural networks in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid neural networks. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

Hybrid Information Systems

Author : Ajith Abraham,Mario Köppen
Publisher : Springer Science & Business Media
Page : 756 pages
File Size : 55,8 Mb
Release : 2002-08-06
Category : Computers
ISBN : 3790814806

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Hybrid Information Systems by Ajith Abraham,Mario Köppen Pdf

Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.

Agent-Based Hybrid Intelligent Systems

Author : Zili Zhang (Ph.D.),Chengqi Zhang
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 47,8 Mb
Release : 2004-01-28
Category : Computers
ISBN : 9783540209089

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Agent-Based Hybrid Intelligent Systems by Zili Zhang (Ph.D.),Chengqi Zhang Pdf

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Hybrid Information Systems

Author : Ajith Abraham,Mario Köppen
Publisher : Springer Science & Business Media
Page : 718 pages
File Size : 45,8 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817829

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Hybrid Information Systems by Ajith Abraham,Mario Köppen Pdf

Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.