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Computational Neural Networks for Geophysical Data Processing (Cód: 2891503)

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Computational Neural Networks for Geophysical Data Processing

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Descrição

This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis.

Computational, rather than artificial, modifiers are used for neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications.

While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully.

Características

Peso 0.00 Kg
Produto sob encomenda Sim
Marca ELSEVIER S&T
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 28532
Início da Venda 13/06/2001
Código do Formato Pdf
Cód. Barras 9780080529653
Ano da edição 62001
Ano da Publicação 2001