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back propagation algorithm in Chinese

Pronunciation:
How to pronounce "back propagation algorithm""back propagation algorithm" in a sentence

Translationmobile phoneMobile

  • 倒傳遞演
  • 反傳算法
  • 反向傳播算法
  • 回傳式學(xué)習(xí)算法

Examples

  • Back propagation algorithm
    反傳算法
  • Design of on - line learning based error back propagation algorithm in simulation servo system
    基于在線學(xué)習(xí)誤差反傳算法的仿真伺服系統(tǒng)設(shè)計(jì)
  • The multilayer perception , trained by the back propagation algorithm , is currently the most widely used neural network
    Bp神經(jīng)網(wǎng)絡(luò)是目前神經(jīng)網(wǎng)絡(luò)理論發(fā)展最完善、應(yīng)用最為廣泛的網(wǎng)絡(luò)。
  • Chapter four details the basis of the modeling of the thesis - - error back propagation algorithm , or bp , which is the stress of the thesis
    2005年4月末,金融機(jī)構(gòu)個人貸款余額達(dá)到27043億元,比上年同期增長了57 % ,呈現(xiàn)了快速發(fā)展的態(tài)勢。
  • The algorithm give over vice of the simple back propagation algorithm ( sbp ) that plunge the part extremes in some intricate nonlinear problems
    同時(shí)，針對sbp神經(jīng)網(wǎng)絡(luò)對于復(fù)雜的非線性問題容易陷入局部極值，提出了改進(jìn)的bp算法( nfcs - caf ) 。
  • Chapter 4 presents an error back propagation algorithm with quadratic momentum of the multilayer forward neural networks that will speed up the error convergence velocity
    本文提出一種帶二次動量項(xiàng)的多層前向網(wǎng)絡(luò)誤差反傳算法，提高了神經(jīng)網(wǎng)絡(luò)的誤差收斂速度。
  • 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)的前饋型網(wǎng)絡(luò)為基礎(chǔ)結(jié)構(gòu)，基于反向傳播算法進(jìn)行學(xué)習(xí)和訓(xùn)練來擬和證券價(jià)格指數(shù)的運(yùn)動趨勢。
  • 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
    前向網(wǎng)絡(luò)利用反向傳播算法訓(xùn)練多層網(wǎng)絡(luò)，使訓(xùn)練后的網(wǎng)絡(luò)較好地?cái)M合樣本空間中各點(diǎn)的函數(shù)值。
  • The artificial neural networks ( ann ) with back propagation algorithms coupled with the sequential pseudo - uniform design ( spud ) was applied and demonstrated successfully to the modeling of the pmr system using limited but adequate experimental data
    我們采用接續(xù)式擬均勻設(shè)計(jì)來安排實(shí)驗(yàn)取得少量但充足的數(shù)據(jù)并以類神經(jīng)網(wǎng)路來建構(gòu)鈀膜反應(yīng)器之代表性模式。
  • In the stage of training , nntcs applies labeled documents to ann for training , and the error back propagation algorithm ( bp ) is employed to adjust weights of the networks . after training , the final fixed weights are saved as knowledge of classification
    在文本訓(xùn)練的時(shí)候，利用標(biāo)記好的訓(xùn)練文檔集進(jìn)行網(wǎng)絡(luò)訓(xùn)練，誤差反饋算法對網(wǎng)絡(luò)進(jìn)行權(quán)值調(diào)整，得到固定的權(quán)值作為分類知識存儲。
  • More examples：  1  2  3
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