A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm
Radial basis function networks are the most popular neural network architecture due its simpler structure and better approximation ability owing to the localization property of the Gaussian function. in this chapter, we study complex-valued RBF networks and their learning algorithms. First, we present a complex-valued RBF network which is a direct extension of the real-valued RBF network. CRBF network is a single hidden layer networkwhich computes the output of the network as a linear combination of the hidden neuron outputs.
KeywordsRadial Basis Function Extreme Learning Machine Hide Neuron Radial Basis Function Neural Network Radial Basis Function Network
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