Eusipco ' 98 . 1 Neural Networks with Hybridmorphological / Rank / Linear Nodesand Their Application
نویسنده
چکیده
We propose a general class of multilayer feed-forward neural networks where the combination of inputs in every node is formed by hybrid linear and nonlinear (of the morphological/rank type) operations. For its design we formulate a methodology using ideas from the back-propagation algorithm and robust techniques to circumvent the non-diierentiability of rank functions. Experimental results in a problem of handwritten character recognition are described and illustrate some of the properties of this new type of nonlinear systems.
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