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.
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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.
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Taschenbuch. Zustand: Neu. Artificial Neural Networks | Methods and Applications | David J. Livingstone | Taschenbuch | x | Englisch | 2011 | Humana | EAN 9781617377389 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 107146365
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Zustand: New. A guide to network architectures, training and the extraction of rules from trained networks. It reports the history of the application of ANN to chemical and biological problems, and covers many examples of the application of ANN to chemistry and biology. Editor(s): Livingstone, David J. Series: Methods in Molecular Biology. Num Pages: 254 pages, 74 black & white illustrations, 26 black & white tables, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 409. . 2011. Paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781617377389
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