Artificial Neural Networks
This volume presents examples of how ANNs are applied in biological sciences and related areas. Chapters focus on the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, use of mass spectrometry in metabolite identification, visual navigation, andcomputer diagnosis. Written in the highly successful Methods in Molecular Biologyseries format, chapters…
Read More ↓Title Statements
- Full title :Artificial Neural Networks.
Summary
This volume presents examples of how ANNs are applied in biological sciences and related areas. Chapters focus on the analysis of intracellular sorting information, prediction of the behavior of bacterial communities, biometric authentication, studies of Tuberculosis, gene signatures in breast cancer classification, use of mass spectrometry in metabolite identification, visual navigation, andcomputer diagnosis. Written in the highly successful Methods 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: Second Edition aids scientists in continuing to study Artificial Neural Networks (ANNs).
Read More ↓Edition Statements
- Publication Date:Dec. 2014.
- Edition:2nd ed
Publication Statements
- Publisher(s):Springer
- Place of Publication:New York
- Language:eng
- Publication Date:Dec. 2014.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:9781493922383, 1493922386
- oclc:ocn903237224
- LC Classification:QH573-671
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Files & Downloads
-
Artificial Neural Networks -- (.pdf)
PDF · 9.6 MB · updated -
Artificial Neural Networks -- (.pdf)
PDF · 11.0 MB · updated
Rate & Review