Radial basis function neural network for 2 satisfiability programming

Volume: 18, Issue: 1, Pages: 459 - 459
Published: Apr 1, 2020
Abstract
<span>Radial Basis Function Neural Network (RBFNN) is very prominent in data processing. However, improving this technique is vital for the NN training process. This paper presents an integrated 2 Satisfiability in radial basis function neural network (RBFNN-2SAT). There are two different types of training in RBFNN, namely no-training technique and half-training technique. The performance of the solutions via Genetic Algorithm (GA)...
Paper Details
Title
Radial basis function neural network for 2 satisfiability programming
Published Date
Apr 1, 2020
Volume
18
Issue
1
Pages
459 - 459
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