back-propagation algorithm

基本解释

The advantages and disadvantages of Back Propagation Algorithm (BP) and Genetic Algorithm (GA) are analysed, combination of the two algorithms forms GA-BP.
分析了遗传算法（GA）和BP算法的优缺点，将GA算法与BP算法有机地结合，形成了遗传BP算法。
There are a few training algorithms for parameter estimation of neural networks, in which Back Propagation(BP)algorithm is the typical algorithm for feed-forward multi-layer neural networks.
神经网络参数估计有许多训练算法，BP算法是前向多层神经网络的典型算法，但BP算法有时会陷入局部最小解。
Combined Genetic Algorithms(GA) and back-propagation neural network(BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.
结合遗传算法（GA）和误差反馈型神经网络（BP），建立了优化的GA-BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。