In this paper, the study of restoration of Supersymmetry, broken at tree level, has been undertaken. In the present model we have lucratively applied the method of back propagation based on gradient descent along the error surface to restore the supersymmetry against arbitrary tiny quantum corrections in the form of small thermal agitations. Back propagation method brings the potential stabilit...

This paper presents the use of times series AutoRegressive Integrated Moving Average ARIMA(p,d,q) model with interventions, and neural network back-propagation model in analyzing the behavior of sales in a medium size enterprise located in Rio Grande do Sul Brazil for the period January 1984 – December 2000. The forecasts obtained using the neural network back-propagation model were found to be...

In the previous study, we have proposed a template design method of cellular neural networks with back propagation algorithm. In that method, template learns by using the average error which corresponds to the difference between the output image and the desired image. In this study, we modify the back propagation algorithm for cellular neural networks template design. We inspect the performance...