Satisfiability logic analysis via radial basis function neural network with artificial bee colony algorithm

Radial Basis Function Neural Network (RBFNN) is a variant of artificial neural network (ANN) paradigm, utilized in a plethora of fields of studies such as engineering, technology and science. 2 Satisfiability (2SAT) programming has been coined as a prominent logical rule that defines the identity of...

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Autores principales:	Shareduwan Bin Mohd Kasihmuddin, Mohd, Asyraf Bin Mansor, Mohd, Abdulhabib Alzaeemi, Shehab, Sathasivam, Saratha
Formato:	Artículo
Lenguaje:	inglés
Publicado:	2021
Materias:	Bee Colony Radial Basis Function Neural Network 2 Satisfiability Logic
Acceso en línea:	https://dialnet.unirioja.es/servlet/oaiart?codigo=9033430
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