Probabilistic feedforward neural network

Bharathi B. Devi

doi:10.1117/12.188906

10 October 1994 Probabilistic feed-forward neural network

Bharathi B. Devi

Proceedings Volume 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision; (1994) https://doi.org/10.1117/12.188906
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

In this paper, we propose a Gaussian neuron model for feedforward type of neural networks and a method to adapt the above network for any input, not necessarily in the range [0,1]. An error function based on the class label and a priori probability is defined and gradient descent procedure, with backpropagating error, is used for finding the optimal set of parameters of this network. Different approaches are proposed for increasing the rate of convergence of this network. Experimental results are given for continuous data from speech waveform and XOR type of data.

Citation Download Citation

Bharathi B. Devi "Probabilistic feed-forward neural network", Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); https://doi.org/10.1117/12.188906

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