Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
Software reuse has been demonstrated to increase productivity, reduce costs, and improve software quality. The research that has addressed this problem has concentrated on code cr...
Letha H. Etzkorn, Carl G. Davis, Lisa L. Bowen, Ja...
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
In this paper, we present a new synthesis feature namely, "Xor matching", and the foldback product term synthesis for Complex Programmable Logic Devices (CPLD) architectu...