Training Algorithm for Neuro-fuzzy-ga Systems
نویسندگان
چکیده
The main goal of this paper is to present a new learning algorithm which has been applied to feedforward neural networks. It was used not only during the learning phase of the network, but also to optimise the number of hidden neurons. This learning algorithm is inspired on the classical backpropagation algorithm but it owns some variations due to kind of network used. This algorithm was applied to a particular network which has AND/OR fuzzy neurons.
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تاریخ انتشار 1998