Learning enhancement of radial basis function network with particle swarm optimization

• المؤلف الرئيسي: Sultan Noman, Qasem Mohammed
• التنسيق: أطروحة
• اللغة: English
• منشور في: 2008
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/18057/1/SultanNomanQasemMohammedMFM2008.pdf; http://eprints.utm.my/id/eprint/18057/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:1271?queryType=vitalDismax&query=Learning+enhancement+of+radial+basis+function+network+with+particle+swarm+optimization&public=true

Back propagation (BP) algorithm is the most common technique in Artificial Neural Network (ANN) learning, and this includes Radial Basis Function Network. However, major disadvantages of BP are its convergence rate is relatively slow and always being trapped at the local minima. To overcome this pro...