Research of neuronetwork algorithms of training in intelligence evolution systems
The paper describes the problems of dynamic intelligent systems for support of decisions, which allows to solve the problems of a prediction and planning of actions in mode of real time more effectively. New evolving and genetic algorithms for learning on the basis of neural network of multi- level perceptron and ART-1 are proposed.