Models and algorithms of Grid-systems forming for structural and parametric synthesis of neural network models

The choice problem of GRID-system efficient configuration for neural network modeling parallel realization is discussed. We offer the new multiple-population parallel genetic algorithm for solving the multiobjective optimization problem of neural networks structure-parametric synthesis. The set of analytical models for GRID-system functioning efficiency estimation is suggested.