NEURAL NETWORK ANALYSIS BASED ON MULTIAGENT STOCHASTIC ALGORITHMS
The author proposes a neural network software suite of data analysis, designed for professionals in the field of neural network technology with the ability to fine-tune the basic neural network models and applications for another areas, in this case the structural and parametric optimization of multi-agent neural networks stochastic algorithms occurs.