作者: Sundaram Suresh , Narasimhan Sundararajan , Ramasamy Savitha
DOI: 10.1007/978-3-642-29491-4_8
关键词: Training set 、 Set (abstract data type) 、 Mathematical optimization 、 Complex valued 、 Resource allocation 、 Network parameter 、 Network structure 、 Computer science 、 Extreme learning machine 、 A priori and a posteriori
摘要: All the algorithms described in chapters 2, 3, 4 and 6, viz., FC-MLP, IC-MLP, CRBF, FC-RBF, Mc-FCRBF, FCRN CC-ELM are batch learning algorithms. These require complete training data set network structure has to be fixed a priori.