Reconstructing signal from fiber-optic measuring system with non-linear perceptron

A. V. Panov

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arXiv · cond-mat/0103092

Reconstructing signal from fiber-optic measuring system with non-linear perceptron

A. V. Panov

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Abstract

A computer model of the feed-forward neural network with the hidden layer is developed to reconstruct physical field investigated by the fiber-optic measuring system. The Gaussian distributions of some physical quantity are selected as learning patterns. Neural network is learned by error back-propagation using the conjugate gradient and coordinate descent minimization of deviation. Learned neural network reconstructs the two-dimensional scalar physical field with distribution having one or two Gaussian peaks.

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A. V. Panov. 2001-03-05. Reconstructing signal from fiber-optic measuring system with non-linear perceptron. https://arxiv.org/abs/cond-mat/0103092

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