propagation algorithm

"propagation algorithm"的翻譯和解釋

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例句與用法

Bp algorithm ( back - propagation algorithm ) is the most basic and important one among all kinds of neural networks algorithms
Bp算法，即誤差逆向傳播算法是各種神經(jīng)網(wǎng)絡(luò)算法中最基礎(chǔ)、最重要的一種。
( 3 ) multiple neural networks based on layers diagnosis model , back - propagation algorithm and its improved algorithm is analyzed in details
( 3 )詳細(xì)分析了反向傳播算法、其改進(jìn)算法、基于層次分類診斷模型的多重結(jié)構(gòu)神經(jīng)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(gè)人貸款余額達(dá)到27043億元,比上年同期增長(zhǎng)了57 % ,呈現(xiàn)了快速發(fā)展的態(tài)勢(shì)。
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(duì)sbp神經(jīng)網(wǎng)絡(luò)對(duì)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 ) 。
We use an address symbolic value propagation algorithm to derive possible address set that might be accessed by a memory instruction
我們通過一種值預(yù)測(cè)及傳播算法檢測(cè)存儲(chǔ)器指令數(shù)據(jù)相關(guān)。這種方法有助于提高與存儲(chǔ)器訪問相關(guān)的指令的執(zhí)行效率。
Matlab is a kind of very powerful project language whose inner neural network tools make the realization of back - propagation algorithms more easily and convenient
Matlab語言是一種非常強(qiáng)大的工程語言，其內(nèi)部的神經(jīng)網(wǎng)絡(luò)工具箱使bp算法的實(shí)現(xiàn)變的非常簡(jiǎn)便。
The application of hybrid algorithm which combines improved genetic algorithm and error back - propagation algorithm in artificial neural network training is studied first
首先研究了將改進(jìn)遺傳算法和誤差反向傳播( bp )算法相結(jié)合的混合算法來訓(xùn)練人工神經(jīng)網(wǎng)絡(luò)。
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(dòng)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(dòng)趨勢(shì)。
The traditional beam propagation algorithm based on fast fourier transform fails to give right results due to the limitation of the sampling theorem
由于取樣定理的限制，常規(guī)的基于快速傅里葉變換( fft )光束傳輸模擬算法不能進(jìn)行任意焦距聚焦光束的傳輸過程的模擬。