700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Original Articles Open Access
Radial Basis Function Neural NetworkÃ¯Â¼Â RBFÃ¯Â¼Â is widely used now; it can solve the following problems: the small sample, nonlinear, dimension and local minima. Firstly, this paper briefly introduces the basic principles of RBF, and then comprehensively accounts the RBF domestic and overseas study status, discusses the advantages and disadvantages of various methods, and compares the explanation, finally analyzes the existing problems and the development trend in the future.
To read the full article Peer-reviewed Article PDF
Author(s): Weidong Ji Liping Sun Keqi Wang and Liguo Lv
Radial basis function, Feed forward neural network, Optimization, Neural Network