Abstract:A back propagation network model employing Threshold Logic Transform (TLT) for faster training is proposed. TL.T, a simple mathematical transformation, is inserted between the input layer and the hidden layer to seed up extraction of complex features of input. When comparing the conventional method versus adding TLT the study of three classification tasks revealed that with TLT the convergence speed is 5 to 20 times faster. The rate of convergence is also much greater. The conventional method is 33.3%, whereas… Show more
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