By Pankaj Mehra
The objective of this booklet is to make man made Neural Networks obtainable to scholars, academicians, engineers, and different execs who are looking to find out about the sector , in addition to to researchers, who can use this educational to develop into trained approximately present learn.
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Additional info for Artificial Intelligence - IEEE Artificial Neural Networks A Tutorial
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In simple terms, back-propagation is applied to identify the network weights given the training data, using an optimization method. 2 Mathematical Framework 29 can be identified using the following iterative method (Werbos et al. 1974; Zhao et al. 6) In Eq. 6, the parameter Á is the learning rate while fg represents a vector. The minimization of the objective function, E, is achieved by calculating the derivative of the errors in Eq. 3 with respect to the network’s weight. 2/ In Eq. aj / and ak D M j D0 wkj yj .