As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology™ series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols.
Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study.
"Sinopsis" puede pertenecer a otra edición de este libro.
As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols.
Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as a detailed, easy-to-use guide to the application of artificial neural networksIncludes methods involving the mapping and interpretation of Infra Red spectra and modelling environmental toxicologyIn this book, internationa. Nº de ref. del artículo: 4256966
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, international experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. Methods involving the mapping and interpretation of Infra Red spectra and modelling environmental toxicology are included. This book is an excellent guide to this exciting field. 264 pp. Englisch. Nº de ref. del artículo: 9781617377389
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology(TM) series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols.Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study. Nº de ref. del artículo: 9781617377389
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology¿ series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols.Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 264 pp. Englisch. Nº de ref. del artículo: 9781617377389
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