Research and Application of the Data Mining Based on G-BP Algorithm

Neural network has been widely used in the field of data mining, but the traditional neural network has some defects, such as convergence in the local optimal solution, learning a long time, etc. The genetic algorithm is a global optimization search algorithm, and can effectively overcome these shortcomings. Therefore, based on the comparative analysis of the standard BP algorithm and genetic algorithms, the hybrid algorithm G-BP algorithm that this paper presents not only retains the original merits of the neural network, but also overcomes these shortcomings. Through specific application it has been proved that the algorithm is practical in data mining, and is a good method of data mining.