Systematic Boolean Satisfiability Programming in Radial Basis Function Neural Network
Radial Basis Function Neural Network (RBFNN) is a class of Artificial Neural Network (ANN) that contains hidden layer processing units (neurons) with nonlinear, radially symmetric activation functions. Consequently, RBFNN has extensively suffered from significant computational error and difficulties...
Main Authors: | Mohd. Asyraf Mansor, Siti Zulaikha Mohd Jamaludin, Mohd Shareduwan Mohd Kasihmuddin, Shehab Abdulhabib Alzaeemi, Md Faisal Md Basir, Saratha Sathasivam |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
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Series: | Processes |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9717/8/2/214 |
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