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(Neural Computation. 2002;14:1451-1480.)
© 2002 The MIT Press

Letter

MLP in Layer-Wise Form with Applications to Weight Decay

Tommi Kärkkäinen

tka{at}mit.jyu.fi, Department of Mathematical Information Technology, University of Jyväskylä, P.O.Box 35 (Agora), FIN-40351 Jyväskylä, Finland

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.




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Neural Comput., April 1, 2004; 16(4): 837 - 862.
[Abstract] [Full Text] [PDF]


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