ARTIFICIAL NEURAL NETWORKS: METHODS AND APPLICATIONS (METHODS IN MOLECULAR BIOLOGY, VOL. 458)

LIVINGSTONE ET. AL.

ISBN 10: 1588297187 / ISBN 13: 9781588297181

Editore: Humana, 2008

Riguardo questo articolo

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Codice articolo ABNR-235404

Dati bibliografici

• Titolo: ARTIFICIAL NEURAL NETWORKS: METHODS AND APPLICATIONS (METHODS IN MOLECULAR BIOLOGY, VOL. 458)
• Editore: Humana
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 1588297187
• ISBN 13: 9781588297181
• Rilegatura: Brossura
• Edizione: Edizione Internazionale
• Condizione: New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.