Research on Hybrid Applications of Intelligent Techniques with Neural Networks

Neural networks technology has been applied in many fields successfully, under common implementation environment of symbol computation system, for each intelligent technique, they could just reinforce each other except for taking place. This paper will mainly discuss some hot branches in hybrid applications of intelligent techniques with neural networks technology, and its implementation. From large amount of experiments and datum, by building up mathematical model, it is exactly precise to predict the relationship among elements in system, and the scale of error values comparing with the ideal outputs is under control by using certain revising hybridizing algorithm.