Document Detail


Overview of artificial neural networks.
MedLine Citation:
PMID:  19065803     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The artificial neural network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in modem drug discovery research requires sophisticated analysis methods to uncover the hidden causal relationships between single or multiple responses and a large set of properties. The ANN is one of many versatile tools to meet the demand in drug discovery modeling. Compared to a traditional regression approach, the ANN is capable of modeling complex nonlinear relationships. The ANN also has excellent fault tolerance and is fast and highly scalable with parallel processing. This chapter introduces the background of ANN development and outlines the basic concepts crucially important for understanding more sophisticated ANN. Several commonly used learning methods and network setups are discussed briefly at the end of the chapter.
Authors:
Jinming Zou; Yi Han; Sung-Sau So
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  458     ISSN:  1064-3745     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2008  
Date Detail:
Created Date:  2008-12-10     Completed Date:  2009-01-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  15-23     Citation Subset:  IM    
Affiliation:
Locus Pharmaceuticals, Inc, Blue Bell, PA, USA.
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
Brain / anatomy & histology*
Chemistry, Pharmaceutical / methods
Drug Design
Humans
Models, Statistical
Models, Theoretical
Nerve Net
Neural Networks (Computer)*
Neurons / pathology
Regression Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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