In this paper,an extendedkalmanfilter（EKF） based training and datacleaning algorithm for neuralnetwork which can simultaneously train a neuralnetwork with good generalization and recover the original data from ...
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In this paper,an extendedkalmanfilter（EKF） based training and datacleaning algorithm for neuralnetwork which can simultaneously train a neuralnetwork with good generalization and recover the original data from noise will be *** with the standard recursive least square（RLS） training approach,it is demonstrated that the proposed algorithm can have a better generalization *** also present in this paper a parallel algorithm for the implementation of this EKF based training method onto a SIMD *** a n processors SIMD machine together with this parallel algorithm,the time required for one-step update can be reduced by an order of n,where n is the total number of hidden units,compared with using single sequential machine.
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