Matthias Oliver Berger

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This paper proposes a new algorithm using a maximum neural network model to k-color vertices of a simple undirected graph. Unlike traditional neural nets, the proposed network is guaranteed to have 100% convergence rate to valid solutions with no parameter tuning needed. The power of the new method to solve this NP-complete problem will be shown in a number(More)
This paper proposes a new algorithm using a nonpositive neural network model to solve channel assignment problems in arbitrary cellular mobile radio systems. Unlike traditional neural nets used in optimization problems, the proposed network is guaranteed to deliver valid solutions after every update and needs no parameter tuning. The power of the new method(More)
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