Beyond feedforward models trained by backpropagation: a practical training tool for a more efficient universal approximator
{{output}}
Cellular simultaneous recurrent neural network (SRN) has been shown to be a function approximator more powerful than the multilayer perceptron (MLP). This means that the complexity of MLP would be prohibitively large for some problems while SRN could realize t... ...
