Artificial Neural Networks

Hugh Cartwright

ISBN 10: 1071608282 / ISBN 13: 9781071608289

Editore: Springer US, Springer New York Aug 2021, 2021

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Neuware -This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Artificial Neural Networks: Third Edition should be of value to all scientists interested in the hands-on application of ANNs in the biosciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.

Codice articolo 9781071608289

Dati bibliografici

• Titolo: Artificial Neural Networks
• Editore: Springer US, Springer New York Aug 2021
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1071608282
• ISBN 13: 9781071608289
• Rilegatura: Taschenbuch
• Edizione: terza edizione
• Condizione: Neu
• Dimensioni: 254 L x 178 A x 21 P (millimetri) 254 millimetri di larghezza per 178 millimetri di altezza per 21 millimetri di profondità
• Peso: 699 grammi

Descrizione articolo

Riassunto

This volume presents examples of how Artificial Neural Networks (ANNs) are applied in biological sciences and related areas. Chapters cover a wide variety of topics, including the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, the use of mass spectrometry in metabolite identification, visual navigation, and computer diagnosis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and practical, Artificial Neural Networks: Third Edition should be of value to all scientists interested in the hands-on application of ANNs in the biosciences.