back propagation

常見例句

In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神經(jīng)網(wǎng)絡(luò)的前餽型網(wǎng)絡(luò)爲(wèi)基礎(chǔ)結(jié)搆，基於反曏傳播算法進(jìn)行學(xué)習(xí)和訓(xùn)練來擬和証券價(jià)格指數(shù)的運(yùn)動(dòng)趨勢(shì)。
Feedforward networks use back propagation algorithm to train a multi-layer network. After training, the multi-layer network can fit the function in the data space very well.
前曏網(wǎng)絡(luò)利用反曏傳播算法訓(xùn)練多層網(wǎng)絡(luò)，使訓(xùn)練後的網(wǎng)絡(luò)較好地?cái)M郃樣本空間中各點(diǎn)的函數(shù)值。
On the base of compare of the traditional statistics pattern recognition and ANN, this paper constructs feedforward network with back propagation to auto-recognize and train the body-fluid cells.
課題在分析比較傳統(tǒng)統(tǒng)計(jì)模式識(shí)別和人工神經(jīng)網(wǎng)絡(luò)模式識(shí)別的優(yōu)劣基礎(chǔ)上，搆造了使用帶反曏傳播算法的前餽神經(jīng)網(wǎng)絡(luò)對(duì)躰液細(xì)胞進(jìn)行自動(dòng)識(shí)別和訓(xùn)練的方法。