Speech-oriented negative emotion recognition

Standard Back Propagation(BP) network is easily trapped into a local optimal solution. Two main approaches are commonly used to improve its appearance. One is to employ numerical optimization methods, this approach is simple and fast, but severe with computational storage, in addition could not guarantee convergence. Another is to employ gradient descent methods, this approach can achieve a global minimum with high probability, but more likely to cause oscillations, and the parameters are hard to determine. Motivated by the innovation character of human being, a simulation of this psychology phenomena is proposed to raise the probability of obtaining a global optimization and reducing oscillations, then a combination of the genetic algorithm and this innovation mechanism is introduced to deal with the initialization.