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Training of a feedforward multiple-valued neural network by error backpropagation with a multilevel threshold function

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1 Author(s)
V. K. Asari ; Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA

A technique for the training of multiple-valued neural networks based on a backpropagation learning algorithm employing a multilevel threshold function is proposed. The optimum threshold width of the multilevel function and the range of the learning parameter to be chosen for convergence are derived. Trials performed on a benchmark problem demonstrate the convergence of the network within the specified range of parameters

Published in:

IEEE Transactions on Neural Networks  (Volume:12 ,  Issue: 6 )