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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Alzaeemi, Shehab (Autore), Mansor, Mohd. Asyraf (Autore), Kasihmuddin, Mohd Shareduwan Mohd (Autore), Sathasivam, Saratha (Autore), Mamat, Mustafa (Autore)
Altri autori: This research is funded by School of Mathematical Sciences, Universiti Sains Malaysia, Grant number: 1001.PMATHS.AUPS001 (Contributore)
Natura: EJournal Article
Pubblicazione: Institute of Advanced Engineering and Science, 2020-04-01.
Soggetti:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Accesso online:Get fulltext
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Accesso online

Get fulltext

3rd Floor Main Library

Dettagli sul posseduto da 3rd Floor Main Library
Collocazione: A1234.567
Copia 1 Disponibile

Documenti analoghi