Forecasting methods of intelligent systems technical condition analysis

Modern information processing and control systems reached the level that makes it possible to use detailed on device human nervous system functioning. Using a cognitive psychological approach in intelligent development, allowed them imitate functions. The development of increasingly powerful with learning self-learning, including measuring systems, is expected as result.
 They will have enhanced capabilities due stimulation functions processes responsible for perception, learning, thinking, consciousness system.
 Development this field allows develop thinking behaviour analysis elements. Adding some creative possibilities, example, related automatic hypotheses models creation self-learning new task solving, improve efficiency systems.
 Due approaches artificial brain robots which relate not only intelligence but also its form an mind.
 Thus, main scientific models, methods, methodics, algorithms technical condition forecasting based soft computing important relevant science practice.
 Intelligent technologies allowing useful are continuously being improved. Currently, quite tools implementing technology expert fuzzy logic, neural network multi-agent used. rapidly improved by adding software packages hardware tools.
 New developed so-called neuromorphic structures parallel quantum computers field. These aim raise significantly future.