Radial basis function neural network for 2 satisfiability programming

Radial basis function neural network for 2 satisfiability programming

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 trainin...

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Detalhes bibliográficos
Principais autores: Alzaeemi, Shehab (Autor), Mansor, Mohd. Asyraf (Autor), Kasihmuddin, Mohd Shareduwan Mohd (Autor), Sathasivam, Saratha (Autor), Mamat, Mustafa (Autor)
Outros Autores: This research is funded by School of Mathematical Sciences, Universiti Sains Malaysia, Grant number: 1001.PMATHS.AUPS001 (Contribuinte)
Formato: EJournal Article
Publicado em: Institute of Advanced Engineering and Science, 2020-04-01.
Assuntos:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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