Abstract:From the dual structural radial basis function network (DSRBF) (Cheung and Xu 2001), this paper presents a new divide-and-conquer learning approach to radial basis function networks (DCRBF). The DCRBF network is a hybrid system consisting of several sub-RBF networks, each of which takes a sub-input space as its input. Since this system divides a high-dimensional modeling problem into serveral low-dimensional ones, it can considerably reduce the structural complexity of a RBF network, whereby the net's learning… Show more
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