Evolutionary Learning Algorithms For Neural Adaptive Control
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Evolutionary Learning Algorithms For Neural Adaptive Control
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Author : Dimitris C. Dracopoulos
language : en
Publisher: Springer
Release Date : 2013-12-21
Evolutionary Learning Algorithms For Neural Adaptive Control written by Dimitris C. Dracopoulos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Computers categories.
Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.
Evolutionary Learning Algorithms For Neural Adaptive Control
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Author : Dimitris Dracopoulos
language : en
Publisher:
Release Date : 2014-09-01
Evolutionary Learning Algorithms For Neural Adaptive Control written by Dimitris Dracopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-01 with categories.
Automatic Generation Of Neural Network Architecture Using Evolutionary Computation
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Author : E. Vonk
language : en
Publisher: World Scientific
Release Date : 1997
Automatic Generation Of Neural Network Architecture Using Evolutionary Computation written by E. Vonk and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.An overview of the field of evolutionary computation is presented, together with the biological background from which the field was inspired. The most commonly used approaches to a mathematical foundation of the field of genetic algorithms are given, as well as an overview of the hybridization between evolutionary computation and neural networks. Experiments on the implementation of automatic neural network generation using genetic programming and one using genetic algorithms are described, and the efficacy of genetic algorithms as a learning algorithm for a feedforward neural network is also investigated.
Genetic Programming Iii
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Author : John R. Koza
language : en
Publisher: Morgan Kaufmann
Release Date : 1999
Genetic Programming Iii written by John R. Koza and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.
Evolutionary Algorithms In Engineering Applications
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Author : Dipankar Dasgupta
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-05-20
Evolutionary Algorithms In Engineering Applications written by Dipankar Dasgupta 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 1997-05-20 with Computers categories.
Evolutionary algorithms - an overview. Robust encodings in genetic algorithms. Genetic engineering and design problems. The generation of form using an evolutionary approach. Evolutionary optimization of composite structures. Flaw detection and configuration with genetic algorithms. A genetic algorithm approach for river management. Hazards in genetic design methodologies. The identification and characterization of workload classes. Lossless and Lossy data compression. Database design with genetic algorithms. Designing multiprocessor scheduling algorithms using a distributed genetic algorithm system. Prototype based supervised concept learning using genetic algorithms. Prototyping intelligent vehicle modules using evolutionary algorithms. Gate-level evolvable hardware: empirical study and application. Physical design of VLSI circuits and the application of genetic algorithms. Statistical generalization of performance-related heuristcs for knowledge-lean applications. Optimal scheduling of thermal power generation using evolutionary algorithms. Genetic algorithms and genetic programming for control. Global structure evolution and local parameter learning for control system model reductions. Adaptive recursive filtering using evolutionary algorithms. Numerical techniques for efficient sonar bearing and range searching in the near field using genetic algorithms. Signal design for radar imaging in radar astronomy: genetic optimization. Evolutionary algorithms in target acquisition and sensor fusion. Strategies for the integration of evolutionary/ adaptive search with the engineering design process. identification of mechanical inclusions. GeneAS: a robust optimal design technique for mechanical component design. Genetic algorithms for optimal cutting. Practical issues and recent advances in Job- and Open-Shop scheduling. The key steps to achieve mass customization.
Biologically Inspired Networking And Sensing Algorithms And Architectures
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Author : Lio, Pietro
language : en
Publisher: IGI Global
Release Date : 2011-08-31
Biologically Inspired Networking And Sensing Algorithms And Architectures written by Lio, Pietro and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-31 with Computers categories.
Biologically Inspired Networking and Sensing: Algorithms and Architectures offers current perspectives and trends in biologically inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of research papers and surveys introduces researches in the fields of communication networks, performance modeling, and distributed computing to new advances in networking.
Adaptive Systems In Drug Design
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Author : Gisbert Schneider
language : en
Publisher: CRC Press
Release Date : 2002-10-01
Adaptive Systems In Drug Design written by Gisbert Schneider and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-01 with Science categories.
A brief history of drug design presented to make clear that there are fashions in this important field and that they change rather rapidly. This is due in part to the fact that the way that a new paradigm is accepted in a drug company often does not depend on its scientific merit alone.
Adaptive Intelligence Evolutionary Computation For Nextgen Ai
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Author : Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur
language : en
Publisher: Notion Press
Release Date : 2025-01-25
Adaptive Intelligence Evolutionary Computation For Nextgen Ai written by Saurabh Pahune, Kolluri Venkateswaranaidu, Dr. Sumeet Mathur and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-25 with Computers categories.
The book is about use of Generative AI in Evolutionary Computation and has the potential for positive impact and global implications in Adaptive control systems (ACS) are complicated and might have trouble keeping up with fast changes, but they improve performance by responding to input and system changes in realtime, which has benefits including automated adjustment and cost savings. Neural networks have great promise for improving AI capabilities and efficiency; they analyze input through interconnected nodes to accomplish tasks like voice and picture recognition, replicating the human brain.
Principles Of Neural Model Identification Selection And Adequacy
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Author : Achilleas Zapranis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Principles Of Neural Model Identification Selection And Adequacy written by Achilleas Zapranis 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 2012-12-06 with Computers categories.
Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling. However a major weakness is the lack of established procedures for testing mis-specified models and the statistical significance of the various parameters which have been estimated. This is particularly important in the majority of financial applications where the data generating processes are dominantly stochastic and only partially deterministic. Based on the latest, most significant developments in estimation theory, model selection and the theory of mis-specified models, this volume develops neural networks into an advanced financial econometrics tool for non-parametric modelling. It provides the theoretical framework required, and displays the efficient use of neural networks for modelling complex financial phenomena. Unlike most other books in this area, this one treats neural networks as statistical devices for non-linear, non-parametric regression analysis.
Icann 98
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Author : Lars Niklasson
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Icann 98 written by Lars Niklasson 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 2013-11-11 with Computers categories.
ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the