METHODOLOGICAL BASIS OF NEURAL NETWORKS APPLICATIONS FOR FORECASTING AND MANAGEMENT TASKS.

The procedure for the synthesis method of neural network prediction of external perturbations on the special-purpose entity (SPE) is presented. A comparison of the time series forecasting ambient temperature using a typical approach (gradient method) to optimize the weighting coefficients of the neural network and genetic algorithm. Investigated the quality of the system control unit neural network prediction and optimization of its configuration based on genetic algorithm compared to a system without such a prediction. Found that the solution to the problem of mathematical modeling of time series of projections can significantly improve the performance of the control system and to maximize the efficiency of the SPE. [ABSTRACT FROM AUTHOR]