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A non-standard view on artificial neural networks.
- Source :
-
Chemometrics & Intelligent Laboratory Systems . Dec2015 Part B, Vol. 149, p140-152. 13p. - Publication Year :
- 2015
-
Abstract
- In the paper first the two main learning strategies of the artificial neural networks (ANNs), the error-back propagation (EBP) and Kohonen self-organizing maps (SOM) are briefly described. Next, two nonstandard network layouts of the ANNs (bottle-neck and pyramidal decision tree) one for each of both learning strategies are suggested. In the last part, the use of counter-propagation (CP) ANN for handling chemical structures in QSAR modeling, classification and clustering is discussed. These concepts are of particular interest for the computer-aided drug research and in computer-aided toxicology. In the case study the results of fish toxicity research are described. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01697439
- Volume :
- 149
- Database :
- Academic Search Index
- Journal :
- Chemometrics & Intelligent Laboratory Systems
- Publication Type :
- Academic Journal
- Accession number :
- 111409330
- Full Text :
- https://doi.org/10.1016/j.chemolab.2015.08.016