Distributed physical field monitoring by using a photomatrix neural-like system
Yuri N. Kulchin, Igor Vasil’evich Denisov, Oleg T. Kamenev, Andrey V. Panov, Yuri S. Petrov · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In the given paper principles of organization of neural-like system consisting of a matrix of photoelectric cells are represented. The practical realization of this system allows to obtain a parallel processing of an optical information for environmental physical field monitoring . 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.