radial basis function and an Elman neural network. The structure of the networks is based on a multiple-input multiple …

dataset for the radial basis function neural network model to forecast the option price. However, the sample size of option … series neural network with bootstrap model, is composed of a dynamic n-order 2-factor fuzzy time series model, a radial basis … function neural network model and a bootstrap method. In the proposed model, the dynamic n-order 2-factor fuzzy time series …

swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are …