Research on the prediction of breath period signal based on RFN network of self-adaptive genetic algorithm

A hybrid algorithm - RFN network of self-adaptive genetic algorithm was introduced, which combined the excellences of BP network, RFN network and genetic algorithm. The hybrid algorithm adopts the learning rule of RFN network and combines self-adaptive genetic algorithm and gradient descent method. The capability of prediction can be optimized using the hybrid algorithm and the shortcoming of the learning rule of RFN network was overcomed. At the same time, the problem that Global Optimal Solution always cann´t be found only with genetic algorithm was solved. Simulation results show that hybrid algorithm can obtain better forecasting precision.