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Training multi-layered neural networks with T.R. Based algorithm

โœ Scribed by Shengrui Wang


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
74 KB
Volume
1
Category
Article
ISSN
0893-6080

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## Abstract Multilayer feedforward neural networks (MLFNNs) are important modeling techniques widely used in QSAR studies for their ability to represent nonlinear relationships between descriptors and activity. However, the problems of overfitting and premature convergence to local optima still pos