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

Author: Ying Wei Lu

Publisher: World Scientific

Published: 1999-10-04

Total Pages: 231

ISBN-13: 9814495271

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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

Author: Robert J.Howlett

Publisher: Springer Science & Business Media

Published: 2001-03-27

Total Pages: 344

ISBN-13: 9783790813678

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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.

Fully Tuned Radial Basis Function Neural Networks for Flight Control
Fully Tuned Radial Basis Function Neural Networks for Flight Control

Author: N. Sundararajan

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 167

ISBN-13: 1475752865

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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.

Multi-Resolution Methods for Modeling and Control of Dynamical Systems
Multi-Resolution Methods for Modeling and Control of Dynamical Systems

Author: Puneet Singla

Publisher: CRC Press

Published: 2008-08-01

Total Pages: 316

ISBN-13: 1584887702

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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

Author: Ngoc Thanh Nguyen

Publisher: Springer Science & Business Media

Published: 2011-04-04

Total Pages: 605

ISBN-13: 3642200419

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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

Author: Ali Sanayei

Publisher: Springer

Published: 2014-08-28

Total Pages: 362

ISBN-13: 3319107593

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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

Author: Alastair Smith

Publisher: World Scientific

Published: 2016-09-29

Total Pages: 153

ISBN-13: 9814699357

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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.

Disorder Versus Order In Brain Function, Essays In Theoretical Neurobi
Disorder Versus Order In Brain Function, Essays In Theoretical Neurobi

Author: Peter Arhem

Publisher: World Scientific

Published: 2000-06-12

Total Pages: 286

ISBN-13: 9814494488

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The main aim of this book is to raise and clear up the intriguing problems of noise and chaos in the nervous system. What functional role do fluctuations in neural systems play? Are there chaotic processes in the brain? What is the neural code, and how robust is it towards noise? Are there mechanisms that can control noise and chaos?The book provides an introduction to this new and hot field of research, and at the same time brings the reader to the forefront of scientific inquiry. It is intended primarily for biologists involved in theoretical treatment and for physicists with an interest in biology, but the overview character of the articles makes it also well suited for a broader readership.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Author: Thomas, J. Joshua

Publisher: IGI Global

Published: 2019-11-29

Total Pages: 355

ISBN-13: 1799811948

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Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.