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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मुख्य लेखकों: Alzaeemi, Shehab (लेखक), Mansor, Mohd. Asyraf (लेखक), Kasihmuddin, Mohd Shareduwan Mohd (लेखक), Sathasivam, Saratha (लेखक), Mamat, Mustafa (लेखक)
अन्य लेखक: This research is funded by School of Mathematical Sciences, Universiti Sains Malaysia, Grant number: 1001.PMATHS.AUPS001 (अंशदाता)
स्वरूप: EJournal Article
प्रकाशित: Institute of Advanced Engineering and Science, 2020-04-01.
विषय:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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