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On Training Of Feed Forward Neural Networks
2007
Baghdad Science Journal
In this paper we describe several different training algorithms for feed forward neural networks(FFNN). In all of these algorithms we use the gradient of the performance function, energy function, to determine how to adjust the weights such that the performance function is minimized, where the back propagation algorithm has been used to increase the speed of training. The above algorithms have a variety of different computation and thus different type of form of search direction and storage
doi:10.21123/bsj.4.1.158-164
fatcat:jd3pxgmkrveprnkcwakgijsrr4