Abstract:
The method of generalized projections is applied to the multilayer feedforward neural network problem to derive a new learning algorithm. This learning rule is called the...Show MoreMetadata
Abstract:
The method of generalized projections is applied to the multilayer feedforward neural network problem to derive a new learning algorithm. This learning rule is called the projection-method learning rule (PMLR). The authors apply the PMLR to a well-known pattern recognition problem, which cannot be solved by a linear discriminant scheme. The PMLR is compared with the error backpropagation learning rule (BPLR), and is shown to converge faster than the latter for the problems being considered. As the degree of nonlinearity of the neuron activation function increases, the PMLR becomes even more superior to the BPLR.<>
Date of Conference: 18-21 November 1991
Date Added to IEEE Xplore: 12 September 2019
Print ISBN:0-7803-0227-3
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M. Di Martino, S. Fanelli, M. Protasi, "A new improved online algorithm for multi-decisional problems based on MLP-networks using a limited amount of information", Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), vol.1, pp.617-620 vol.1, 1993.
