Perceptron application in nonlinear reconstruction tomography

The principles of solving nonlinear reconstruction tomography problems by means of perceptron-type neural networks are discussed. The paper describes the features of such neural networks that enable considerable improvement of computation efficiency in physical fields reconstruction for technical and technological objects. Neural network implementation technique based on multilayered perceptron is offered, and possible applications are reviewed.