Optimisation of neural network with simultaneous feature selection and network prunning using evolutionary algorithm
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....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Penerbit UTeM
2015
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| Subjects: | |
| 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 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English English |