2010, ISBN: 9781849965743
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free… mais…
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2010, ISBN: 1849965749
[EAN: 9781849965743], Neubuch, [SC: 0.0], [PU: Springer London], EVOLUTIONARYCOMPUTATION; FUZZYSYSTEMS; NEURALNETWORKS; OPTIMIZATION; PATTERNRECOGNITION; SIGNALPROCESSING; ARTIFICIALINTEL… mais…
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ISBN: 9781849965743
This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important m… mais…
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2010, ISBN: 1849965749
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2010, ISBN: 1849965749
Edição encadernada
Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Statistische Physik, Bilderfassungssysteme und -technologie, Informatik, Künstliche Intelligenz, Mustererkennung, Sig… mais…
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2010, ISBN: 9781849965743
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free… mais…
2010, ISBN: 1849965749
[EAN: 9781849965743], Neubuch, [SC: 0.0], [PU: Springer London], EVOLUTIONARYCOMPUTATION; FUZZYSYSTEMS; NEURALNETWORKS; OPTIMIZATION; PATTERNRECOGNITION; SIGNALPROCESSING; ARTIFICIALINTEL… mais…
ISBN: 9781849965743
This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important m… mais…
2010, ISBN: 1849965749
Edição encadernada
Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Statistische Physik, Bilderfassungssysteme und -technologie, Informatik, Künstliche Intelligenz, Mustererkennung, Dig… mais…
2010, ISBN: 1849965749
Edição encadernada
Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Statistische Physik, Bilderfassungssysteme und -technologie, Informatik, Künstliche Intelligenz, Mustererkennung, Sig… mais…
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Dados detalhados do livro - Neural Networks in a Softcomputing Framework Ke-Lin Du Author
EAN (ISBN-13): 9781849965743
ISBN (ISBN-10): 1849965749
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer London Core >1 >T
620 Páginas
Peso: 0,923 kg
Língua: eng/Englisch
Livro na base de dados desde 2012-06-05T14:34:52+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-01-31T13:42:23+00:00 (Lisbon)
Número ISBN/EAN: 1849965749
Número ISBN - Ortografia alternativa:
1-84996-574-9, 978-1-84996-574-3
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: swamy, lin
Título do livro: lin, neural networks
Dados da editora
Autor: Ke-Lin Du; M.N.S. Swamy
Título: Neural Networks in a Softcomputing Framework
Editora: Springer; Springer London
566 Páginas
Ano de publicação: 2010-10-13
London; GB
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
L, 566 p.
BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Evolutionary Computation; Fuzzy Systems; Neural Networks; Optimization; Pattern Recognition; Signal Processing; artificial intelligence; fuzzy logic; fuzzy system; neuro-fuzzy systems; Computational Intelligence; Complex Systems; Theory of Computation; Artificial Intelligence; Signal, Speech and Image Processing; Automated Pattern Recognition; Kybernetik und Systemtheorie; Theoretische Informatik; Elektronik; Digitale Signalverarbeitung (DSP); Mustererkennung; BB; EA
Fundamentals of Machine Learning and Softcomputing.- Multilayer Perceptrons.- Hopfield Networks and Boltzmann Machines.- Competitive Learning and Clustering.- Radial Basis Function Networks.- Principal Component Analysis Networks.- Fuzzy Logic and Neurofuzzy Systems.- Evolutionary Algorithms and Evolving Neural Networks.- Discussion and Outlook.Provides a powerful and universal paradigm for information processing Provides state-of-the-art descriptions of the important major research results of the respective neural methods Dicusses array signal processing problems in order to illustrate the applications of each neural model
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