Higher Order Logic Programming in Radial Basis Function Neural Network
نویسندگان
چکیده
Intelligent systems are yielded from integration of a logic programming and connectionist systems. Radial basis function neural network is a commonly-used type of feedforward networks. In this paper, we proposed a method for connectionist model generation using Radial Basis Function neural network to encode higher order logic programming. We encode each clause from the clauses of a logic programming in separate networks, which are then reduced to a single network.
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