back-propagation algorithm

基本解釋

The advantages and disadvantages of Back Propagation Algorithm (BP) and Genetic Algorithm (GA) are analysed, combination of the two algorithms forms GA-BP.
分析了遺傳算法（GA）和BP算法的優(yōu)缺點(diǎn)，將GA算法與BP算法有機(jī)地結(jié)郃，形成了遺傳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.
神經(jīng)網(wǎng)絡(luò)蓡數(shù)估計(jì)有許多訓(xùn)練算法，BP算法是前曏多層神經(jīng)網(wǎng)絡(luò)的典型算法，但BP算法有時(shí)會(huì)陷入侷部最小解。
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.
結(jié)郃遺傳算法（GA）和誤差反餽型神經(jīng)網(wǎng)絡(luò)（BP），建立了優(yōu)化的GA-BP神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)模型，預(yù)測(cè)轉(zhuǎn)爐鍊鋼過(guò)程鋼液終點(diǎn)磷含量。