Development and applications of a sequential, minimal, radial basis function (RBF) neural network learning algorithm

• المؤلف الرئيسي: Lu, Ying Wei.
• مؤلفون آخرون: Narasimhan, Sundararajan
• التنسيق: Theses and Dissertations
• منشور في: 2010
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/39014

This thesis presents a new sequential learning algorithm for realizing a minimal Radial Basis Function (RBF) neural network, referred to as M-RAN (Minimal Resource Allocation Network). Unlike most of the classical RBF neural networks with the number of hidden neurons fixed apriori, the network st...