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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Asıl Yazarlar: Alzaeemi, Shehab (Yazar), Mansor, Mohd. Asyraf (Yazar), Kasihmuddin, Mohd Shareduwan Mohd (Yazar), Sathasivam, Saratha (Yazar), Mamat, Mustafa (Yazar)
Diğer Yazarlar: This research is funded by School of Mathematical Sciences, Universiti Sains Malaysia, Grant number: 1001.PMATHS.AUPS001 (İştirakçi)
Materyal Türü: EJournal Article
Baskı/Yayın Bilgisi: Institute of Advanced Engineering and Science, 2020-04-01.
Konular:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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