Evolved neural systems with unit breeding. Principles of development.

In this paper a new approach to evolved neural systems is presented which, although preliminary in nature appears to be able to give a number of advantages over other approaches. The main feature of the approach is evolution under influence of environment. Additionally the more exact simulation of biological evolution was provided. Other features are the continual learning during all time of functioning through self-refinement and self-adjustment and the rules for unsupervised terminating of a system existence in the case of its incompetence. The proposition of classification is given for evolved neural systems developed with presented approach. Two classes of evolved neural system are defined. The first class is the original method of use of genetic algorithm principles to evolution of neural system. The second one is the simulation of evolution of natural nervous systems.