A hybrid differential evolution algorithm for parameter tuning of evolving spiking neural network

• المؤلفون الرئيسيون: Saleh, Abdulrazak Yahya, Shamsuddin, Siti Mariyam, Abdull Hamed, Haza Nuzly
• التنسيق: مقال
• منشور في: Inderscience Publishers 2017
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/97057/; http://dx.doi.org/10.1504/IJCVR.2017.081231

In this paper, differential evolution (DE) has been utilised to solve the problem of tuning the parameters of evolving spiking neural network (ESNN) manually. As ESNN is sensitive to its parameters as other models, optimal integration of parameters leads to better classification accuracy. A hybrid d...