Regularized Radial Basis Function Networks
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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.
Regularized Radial Basis Function Networks Theory And Applications To Probability Estimation Classification And Time Series Prediction
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Author :
language : en
Publisher:
Release Date : 1998
Regularized Radial Basis Function Networks Theory And Applications To Probability Estimation Classification And Time Series Prediction written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Radial Basis Function Networks 1
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Author : Robert J.Howlett
language : en
Publisher: Physica
Release Date : 2001-03-27
Radial Basis Function Networks 1 written by Robert J.Howlett and has been published by Physica 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.
Radial Basis Function Networks 2
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Author : Robert J. Howlett
language : en
Publisher: Physica
Release Date : 2013-03-19
Radial Basis Function Networks 2 written by Robert J. Howlett and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-19 with Computers categories.
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. 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 applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. This volume, New Advances in Design, contains a wide range of applications in the laboratory and case-studies describing current use. The sister volume to this one, Recent Developments in Theory and Applications, covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms. The combination of the two volumes will prove extremely useful to practitioners in the field, engineers, researchers, students and technically accomplished managers.
From Statistics To Neural Networks
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Author : Vladimir Cherkassky
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
From Statistics To Neural Networks written by Vladimir Cherkassky 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.
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993. The meeting brought to gether over 100 participants (including 19 invited lecturers) from 20 countries. The invited lecturers whose contributions appear in this volume are: L. Almeida (INESC, Portugal), G. Carpenter (Boston, USA), V. Cherkassky (Minnesota, USA), F. Fogelman Soulie (LRI, France), W. Freeman (Berkeley, USA), J. Friedman (Stanford, USA), F. Girosi (MIT, USA and IRST, Italy), S. Grossberg (Boston, USA), T. Hastie (AT&T, USA), J. Kittler (Surrey, UK), R. Lippmann (MIT Lincoln Lab, USA), J. Moody (OGI, USA), G. Palm (U1m, Germany), B. Ripley (Oxford, UK), R. Tibshirani (Toronto, Canada), H. Wechsler (GMU, USA), C. Wellekens (Eurecom, France) and H. White (San Diego, USA). The ASI consisted of lectures overviewing major aspects of statistical and neural network learning, their links to biological learning and non-linear dynamics (chaos), and real-life examples of pattern recognition applications. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (1) Unified framework for the study of Predictive Learning in Statistics and Artificial Neural Networks (ANNs); (2) Differences and similarities between statistical and ANN methods for non parametric estimation from examples (learning); (3) Fundamental connections between artificial learning systems and biological learning systems.
Regularised Centre Recruitment In Radial Basis Function Networks
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Author : Mark J. L. Orr
language : en
Publisher:
Release Date : 1994
Regularised Centre Recruitment In Radial Basis Function Networks written by Mark J. L. Orr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Approximation theory categories.
Abstract: "Two methods which have been used in the past to improve the generalisation of radial basis function networks and avoid overfit are forward selection of centres and zero-order regularisation. The former also has the desirable property of producing parsimonious networks. However, centre selection is not, in fact, immune to overfitting and it is shown that a combination of the two methods, regularised forward selection, produces parsimonious networks which generalise well."
Radial Basis Function Networks 2
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Author : Robert J. Howlett
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-03-27
Radial Basis Function Networks 2 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 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.
Radial Basis Function Networks 2
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Author : Robert J. Howlett
language : en
Publisher: Physica
Release Date : 2001-03-27
Radial Basis Function Networks 2 written by Robert J. Howlett and has been published by Physica 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) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. 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 applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. This volume, New Advances in Design, contains a wide range of applications in the laboratory and case-studies describing current use. The sister volume to this one, Recent Developments in Theory and Applications, covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms. The combination of the two volumes will prove extremely useful to practitioners in the field, engineers, researchers, students and technically accomplished managers.
Neural Networks And Statistical Learning
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Author : Ke-Lin Du
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-09
Neural Networks And Statistical Learning written by Ke-Lin Du 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 2013-12-09 with Technology & Engineering categories.
Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.
Radial Basis Function Networks 2
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Author : Springer
language : en
Publisher:
Release Date : 2014-01-15
Radial Basis Function Networks 2 written by Springer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.