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Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions   总被引:5,自引:0,他引:5  
Motivated by the problem of training multilayer perceptrons in neural networks, we consider the problem of minimizing E(x)= i=1 n f i ( i x), where i R s , 1in, and each f i ( i x) is a ridge function. We show that when n is small the problem of minimizing E can be treated as one of minimizing univariate functions, and we use the gradient algorithms for minimizing E when n is moderately large. For large n, we present the online gradient algorithms and especially show the monotonicity and weak convergence of the algorithms.  相似文献
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