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ON THE GREEDY RIDGE FUNCTION NURAL NETWORKS FOR APPROXIMATION MULTIDIMENSIONAL FUNCTIONS | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 49, Issue 1, 2008, Pages 192-203 | ||
| Authors | ||
| Najlaa M. hussien; Reyadh S.Naoum | ||
| Abstract | ||
| The aim of this paper is to approximate multidimensional function ƒ ϵC(RS) by developing a new type of Feed forward neural networks (FFNNs) which we called it Greedy ridge function neural networks (GRGFNNs). Also, we introduce a modification to the greedy algorithm which is used to train the greedy ridge function neural networks. An error bound are introduced in Sobolev space. Finally, a comparison was made between the three algorithms (modified greedy algorithm, Back propagation algorithm and the result in [1]). | ||
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