Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm

• Main Authors: WK Wong, Ali Chekima, Wong, Kii Ing, Law, Kah Haw, Lee, Vincent
• Format: Article
• Language: English; English
• Published: Penerbit UTeM 2015
• Subjects: QA71-90 Instruments and machines
• Online Access: https://eprints.ums.edu.my/id/eprint/34974/1/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/34974/2/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34974/; https://jtec.utem.edu.my/jtec/article/view/1440/951
• Institution: Universiti Malaysia Sabah

Most advances on the Evolutionary Algorithm optimisation of Neural Network are on recurrent neural network using the NEAT optimisation method. For feed forward network, most of the optimisation are merely on the Weights and the bias selection which is generally known as conventional Neuroevolution....