Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms

• Main Authors: Alzaeemi, Shehab Abdulhabib, Kim Gaik Tay, Kim Gaik Tay, Audrey Huong, Audrey Huong, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan
• Format: Article
• Language: English
• Published: Tech Science Press 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/9646/1/J16174_ee1fefba9e830abb0e36ae31d95d9997.pdf; http://eprints.uthm.edu.my/9646/; https://doi.org/10.32604/csse.2023.038912
• Institution: Universiti Tun Hussein Onn Malaysia

Radial Basis Function Neural Network (RBFNN) ensembles have long suffered from non-efficient training, where incorrect parameter settings can be computationally disastrous. This paper examines different evolutionary algorithms for training the Symbolic Radial Basis Function Neural Network (SRBFNN)...