Time series generation by multi layer networks


The properties of time series generated by continuous valued multilayer networks consisting of one or two hidden layers are studied analytically The time series is generated by using past output values to determine the next input vector The main results for the generic asymptotic behavior are a The attractor dimension is only a function of the number of… (More)