Artificial Neural Networks. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer US Aug 2020, 2020
- Tapa dura
- Nuevo

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Vendedor de IberLibro desde 11 de enero de 2012
Condición: Nuevo
EUR 192,59
Descripción del artículo del vendedor
This item is printed on demand - it takes 3-4 days longer - 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, andcomputer diagnosis. Written in the highly successfulMethods in Molecular Biologyseries 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. 372 pp. Englisch.
N° de ref. del artículo 9781071608258
- Título
- Artificial Neural Networks
- Autor
- Hugh Cartwright
- Editorial
- Springer US Aug 2020
- Año de publicación
- 2020
- Estado
- Neu
- Encuadernación
- Buch
- Idioma
- inglés
- ISBN 10
- 1071608258
- ISBN 13
- 9781071608258
- Edición
- 3ª Edición
- Peso del artículo
- 896 gramos
- Dimensiones
- 260x183x26 mm
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.
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