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Radial Basis Function Neural Networks With Sequential Learning Progress In Neural Processing


Radial Basis Function Neural Networks With Sequential Learning Progress In Neural Processing
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Radial Basis Function Neural Networks With Sequential Learning Progress In Neural Processing


Radial Basis Function Neural Networks With Sequential Learning Progress In Neural Processing
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Author : Ying Wei Lu
language : en
Publisher: World Scientific
Release Date : 1999-10-04

Radial Basis Function Neural Networks With Sequential Learning Progress In Neural Processing written by Ying Wei Lu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-10-04 with Computers categories.


This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning.



Radial Basis Function Networks 1


Radial Basis Function Networks 1
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Author : Robert J.Howlett
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-03-27

Radial Basis Function Networks 1 written by Robert J.Howlett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-27 with Computers categories.


The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.



Recurrent Neural Networks


Recurrent Neural Networks
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-26

Recurrent Neural Networks written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with Computers categories.


What Is Recurrent Neural Networks An artificial neural network that belongs to the class known as recurrent neural networks (RNNs) is one in which the connections between its nodes can form a cycle. This allows the output of some nodes to have an effect on subsequent input to the very same nodes. Because of this, it is able to display temporally dynamic behavior. RNNs are a descendant of feedforward neural networks and have the ability to use their internal state (memory) to process input sequences of varying lengths. Because of this, they are suitable for applications such as speech recognition and unsegmented, connected handwriting recognition. Theoretically, recurrent neural networks are considered to be Turing complete since they are able to execute arbitrary algorithms and interpret arbitrary sequences of inputs. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Recurrent neural network Chapter 2: Artificial neural network Chapter 3: Backpropagation Chapter 4: Long short-term memory Chapter 5: Types of artificial neural networks Chapter 6: Deep learning Chapter 7: Vanishing gradient problem Chapter 8: Bidirectional recurrent neural networks Chapter 9: Gated recurrent unit Chapter 10: Attention (machine learning) (II) Answering the public top questions about recurrent neural networks. (III) Real world examples for the usage of recurrent 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 recurrent 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.



Fully Tuned Radial Basis Function Neural Networks For Flight Control


Fully Tuned Radial Basis Function Neural Networks For Flight Control
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Author : N. Sundararajan
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Fully Tuned Radial Basis Function Neural Networks For Flight Control written by N. Sundararajan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.


Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.



Development And Applications Of A Sequential Minimal Radial Basis Function Rbf Neural Network Learning Algorithm


Development And Applications Of A Sequential Minimal Radial Basis Function Rbf Neural Network Learning Algorithm
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Author : Ying Wei Lu
language : en
Publisher:
Release Date : 1997

Development And Applications Of A Sequential Minimal Radial Basis Function Rbf Neural Network Learning Algorithm written by Ying Wei Lu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.




Multi Resolution Methods For Modeling And Control Of Dynamical Systems


Multi Resolution Methods For Modeling And Control Of Dynamical Systems
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Author : Puneet Singla
language : en
Publisher: CRC Press
Release Date : 2008-08-01

Multi Resolution Methods For Modeling And Control Of Dynamical Systems written by Puneet Singla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-01 with Mathematics categories.


Unifying the most important methodology in this field, Multi-Resolution Methods for Modeling and Control of Dynamical Systems explores existing approximation methods as well as develops new ones for the approximate solution of large-scale dynamical system problems. It brings together a wide set of material from classical orthogonal function



Intelligent Information And Database Systems


Intelligent Information And Database Systems
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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-04

Intelligent Information And Database Systems written by Ngoc Thanh Nguyen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-04 with Computers categories.


The two-volume set LNAI 6591 and LNCS 6592 constitutes the refereed proceedings of the Third International Conference on Intelligent Information and Database Systems, ACIIDS 2011, held in Daegu, Korea, in April 2011. The 110 revised papers presented together with 2 keynote speeches were carefully reviewed and selected from 310 submissions. The papers are thematically divided into two volumes; they cover the following topics: intelligent database systems, data warehouses and data mining, natural language processing and computational linguistics, semantic Web, social networks and recommendation systems, technologies for intelligent information systems, collaborative systems and applications, e-business and e-commerce systems, e-learning systems, information modeling and requirements engineering, information retrieval systems, intelligent agents and multi-agent systems, intelligent information systems, intelligent internet systems, intelligent optimization techniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unified processes, Web services and semantic Web, computer networks and communication systems.



Iscs 2014 Interdisciplinary Symposium On Complex Systems


Iscs 2014 Interdisciplinary Symposium On Complex Systems
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Author : Ali Sanayei
language : en
Publisher: Springer
Release Date : 2014-08-28

Iscs 2014 Interdisciplinary Symposium On Complex Systems written by Ali Sanayei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-28 with Technology & Engineering categories.


The book you hold in your hands is the outcome of the “2014 Interdisciplinary Symposium on Complex Systems” held in the historical city of Florence. The book consists of 37 chapters from 4 areas of Physical Modeling of Complex Systems, Evolutionary Computations, Complex Biological Systems and Complex Networks. All 4 parts contain contributions that give interesting point of view on complexity in different areas in science and technology. The book starts with a comprehensive overview and classification of complexity problems entitled Physics in the world of ideas: Complexity as Energy” , followed by chapters about complexity measures and physical principles, its observation, modeling and its applications, to solving various problems including real-life applications. Further chapters contain recent research about evolution, randomness and complexity, as well as complexity in biological systems and complex networks. All selected papers represent innovative ideas, philosophical overviews and state-of-the-art discussions on aspects of complexity. The book will be useful as an instructional material for senior undergraduate and entry-level graduate students in computer science, physics, applied mathematics and engineering-type work in the area of complexity. The book will also be valuable as a resource of knowledge for practitioners who want to apply complexity to solve real-life problems in their own challenging applications.



Neurocomputational Models Of Cognitive Development And Processing Proceedings Of The 14th Neural Computation And Psychology Workshop


Neurocomputational Models Of Cognitive Development And Processing Proceedings Of The 14th Neural Computation And Psychology Workshop
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Author : Alastair Smith
language : en
Publisher: World Scientific
Release Date : 2016-09-29

Neurocomputational Models Of Cognitive Development And Processing Proceedings Of The 14th Neural Computation And Psychology Workshop written by Alastair Smith and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-29 with Psychology categories.


This volume presents peer-reviewed versions of papers presented at the 14th Neural Computation and Psychology Workshop (NCPW14), which took place in July 2014 at Lancaster University, UK. The workshop draws international attendees from the cutting edge of interdisciplinary research in psychology, computational modeling, artificial intelligence and psychology, and aims to drive forward our understanding of the mechanisms underlying a range of cognitive processes.



Regularized Radial Basis Function Networks


Regularized Radial Basis Function Networks
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Author : Paul V. Yee
language : en
Publisher: Wiley-Interscience
Release Date : 2001-04-16

Regularized Radial Basis Function Networks written by Paul V. Yee and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-16 with Technology & Engineering categories.


Simon Haykin is a well-known author of books on neural networks. * An authoritative book dealing with cutting edge technology. * This book has no competition.