Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

June 1, 2002, Vol. 14, No. 6, Pages 1451-1480
(doi: 10.1162/089976602753713016)
© 2002 Massachusetts Institute of Technology
MLP in Layer-Wise Form with Applications to Weight Decay
Article PDF (220.8 KB)
Abstract

A simple and general calculus for the sensitivity analysis of a feedforward MLP network in a layer-wise form is presented. Based on the local optimality conditions, some consequences for the least-means-squares learning problem are stated and further discussed. Numerical experiments with formulation and comparison of different weight decay techniques are included.