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A New Learning Algorithm Using Simultaneous Perturbation with Weight Initialization
Authors:Kathirvalavakumar  T.  Thangavel  P.
Affiliation:(1) Department of Computer Science, V.H.N.S.N. College, Virudhunagar;(2) University of Madras, Chepauk, Chennai-, 600 005, India
Abstract:
A new learning algorithm is proposed for training single hidden layer feedforward neural network. In each epoch, the connection weights are updated by simultaneous perturbation. Tunneling using perturbation technique is applied to detrap the local minima. The proposed technique is shown to give better convergence results for the selected problems, namely neuro-controller, XOR, L-T character recognition, two spirals, simple interaction function, harmonic function and complicated interaction function. This revised version was published online in June 2006 with corrections to the Cover Date.
Keywords:feedforward network  local minima  single hidden layer  simultaneous perturbation
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