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Neural networks applied in chemistry. I. Determination of the optimal topology of multilayer perceptron neural networks

Abstract:

Artificial neural networks (ANNs) are comparatively straightforward to understand and use in the analysis of scientific data. However, this relative transparency may encourage their use in an uncritical, and therefore possibly unproductive, fashion. The geometry of a network is among the most crucial factors in the successful deployment of network tools; in this review, we cover methods that can be used to determine optimum or near-optimum geometries. These methods of determining neural netwo...

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Publication status:
Published

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Publisher copy:
10.1002/cem.1401
Journal:
JOURNAL OF CHEMOMETRICS More from this journal
Volume:
25
Issue:
10
Pages:
527-549
Publication date:
2011-10-01
DOI:
EISSN:
1099-128X
ISSN:
0886-9383
Language:
English
Keywords:
Pubs id:
pubs:206135
UUID:
uuid:1b6d0f57-4588-4b40-ae16-cc62cbd913fb
Local pid:
pubs:206135
Source identifiers:
206135
Deposit date:
2012-12-19

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