Study on improving the convergence of genetic neural networks
改善遗传神经网络收敛性的研究

To describe the advantage and shortcoming of gradient descent algorithm and genetic algorithm for training connection weights of neural networks,a new algorithm combined genetic algorithm with gradient descent algorithm was proposed,referred as to Hybrid Intelligence learning algorithm(HI).Applied to the problem of optimizing the connection weight of the feedforward neural networks,the algorithm was feasible.The design and realization of HI was introduced.And it was proved that hybrid intelligence learning algorithm is better,faster and more accurate than gradient descent algorithm and genetic algorithm in theory and practice.