The BP neural network model and application based on genetic algorithm

In order to deal with the defects of the poor convergences and easily immerging in partial minimum frequently, a new algorithm is proposed based on the combination of genetic algorithm and BP neural network, which is called GA- BP algorithm. This algorithm is applied to optimization of initial weights of BP Network, the structure and learn rule. It searches through the total solution space and can find the optimal solution globally over a domain. In this paper, GA- BP algorithm is applied to the production practice of molecular distillation to purify essential oils in schisandra chinensis. The result shows that this algorithm greatly increases convergent speed and convergence accuracy comparing with the simplex BP algorithm, and could achieve better results.