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The ability of function approximation in Restricted Coulomb Energy(RCE) neural network is explored in this paper. The output neurons in the presented RCE network adopt Gaussian Radial Basis Function (RBF) as their activation functions, thus the desired function can be smoothly approximated. The performance of the presented RCE network is investigated through approximations of two- and three-dimensional...
This paper describes a novel type of Asynchronous Cellular Automata, in which transitions of cells only take place when triggered by transitions of their neighboring cells. Called Self-Timed Cellular Automaton (STCA), the model offers control over its cells' operations to the same degree as in Synchronous Cellular Automata, while at the same time offers the flexibility of its purely asynchronous counterparts...
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