Training networks combining genetic algorithm (GA ) based on global optimization with backpropagation (BP) based on gradient descent in the paper make the linking weights of networks self-adaptive evolution in constantly iterative process.

• 本文采用全局寻优的遗传算法（GA）和基于梯度下降的局部寻优反传算法（BP）相结合来训练网络，使网络的连接权在不断迭代过程中自适应演化。