Reconstructing signal from fiber-optic measuring system with non-linear perceptron
Disordered Systems and Neural Networks
2007-05-23 v1
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.
Cite
@article{arxiv.cond-mat/0103092,
title = {Reconstructing signal from fiber-optic measuring system with non-linear perceptron},
author = {A. V. Panov},
journal= {arXiv preprint arXiv:cond-mat/0103092},
year = {2007}
}
Comments
3 pages, Latex, 1 postscript figure