中英
1
propagation algorithm中文是什么意思
- 中文翻譯
- 造句
- 繁衍算法
- algorithm n. 【數(shù)學(xué)】算法；規(guī)則系統(tǒng)；演段。
- back propagation algorithm 倒傳遞演; 反傳算法; 反向傳播算法; 回傳式學(xué)習(xí)算法
- bpa back propagation algorithm 反向傳播算法
- error back propagation algorithm 誤差反傳算法
- sequential propagation algorithm 順序繁衍算法
- propagation 持續(xù)培養(yǎng); 傳播，宣傳; 傳播；繁殖；生長; 傳波; 第八章繁殖技術(shù); 繁殖；傳送; 廣傳; 擴(kuò)散; 樂殖; 散括; 增長; 增生; 增殖
- the algorithm 算法
- abnormal propagation 不正常傳播; 反常傳播
- acoustic propagation 聲傳播; 聲傅播
- acoustical propagation 聲傅播
- angelfish propagation 神仙魚式傳輸; 鯊魚楔形傳輸
- animal propagation 動(dòng)物繁殖
- anogamic propagation 無配繁殖,無配生殖
- anomalous propagation 反差傳播; 反常傳播; 異常傳播
- antegrade propagation 前向性傳播
- antidromic propagation 逆向性傳播,逆行傳播
- artificial propagation 人工繁殖；人工放流; 人工放流
- asexual propagation 無性繁殖
- atmospheric propagation 大氣傳播
- back propagation 后向傳播，反向傳播
- bback propagation 反向傳播
- beam propagation 光束傳播
- bidirectional propagation 雙向傳播; 雙向傳導(dǎo)
- blast propagation 爆炸波傳播; 爆炸波的傳播
- propagation anomaly 傳播異常; 異常傳播損失
- propagation attenuation 傳播衰減
- Using error back propagation algorithm . the limitation of the bp net is also improved ; 2 > when prediction with little training sample set and large variable size is concemed , this paper abstracts the prime factors from the training sample set using rough set theory , then only inputs the prime factors into ann . this diminishes the size and the input nodes number of ann
對(duì)于即網(wǎng)絡(luò)本身易陷入局部極小點(diǎn)及收斂速度慢的問題，在文中也得到了改進(jìn)； 2 、對(duì)于財(cái)政轉(zhuǎn)移支付中標(biāo)準(zhǔn)收入的測(cè)算屬于多指標(biāo)小樣本的預(yù)測(cè)問題，文中首次利用粗集理論對(duì)初始的指標(biāo)體系進(jìn)行約簡(jiǎn)，提取出關(guān)鍵性的因素作為神經(jīng)網(wǎng)絡(luò)的輸入。 - After researching the application of artificial neural network to fault diagnosis of transformer , the back propagation algorithm is improved observably . inducting chaos dynamics principium to create chaos neural network back propagation algorithm and using the pretreatment of training sample , the emulation program show that this method is effective
本文深入研究了人工神經(jīng)網(wǎng)絡(luò)在變壓器故障診斷中的應(yīng)用，對(duì)目前最常采用的bp算法做出了較大改進(jìn)，在原有算法中引入混沌動(dòng)力學(xué)原理構(gòu)造了混沌神經(jīng)網(wǎng)絡(luò)bp算法，并提出了訓(xùn)練樣本集的預(yù)處理方法，在仿真訓(xùn)練中取得了滿意的效果。 - On basis of such theory , penman apply back propagation algorithm to estimate a stock - sanxiashuili ( 600116 ) . compare the estimated price with the real price and analyze the reasons , we point out the advantages and the disadvantages of the new method finally and get some satisfying results
在上述理論基礎(chǔ)上，筆者針對(duì)一支個(gè)股? ?三峽水利（ 600116 ）利用bp網(wǎng)絡(luò)建立了這支股票的估價(jià)模型，并將這支個(gè)股的估計(jì)價(jià)格和實(shí)際價(jià)格曲線進(jìn)行了擬合，在實(shí)踐上也取得了較滿意的結(jié)果。 - Based on the integration of fuzzy logic system and neural networks the thesis constructs a fuzzy neural network controller , which is used in ship course self - studying adaptive control system . because the fuzzy logic system is realized in neural network , the fuzzy neural network controller " s self - studying ability is raised greatly . substituting improved genetic algorithm for back propagation algorithm in fuzzy neural network controller ship course fuzzy neural network control system " s real - time ability is raised
針對(duì)模糊邏輯系統(tǒng)有很強(qiáng)的知識(shí)表達(dá)能力和邏輯推理能力，但自學(xué)習(xí)能力比較差，而人工神經(jīng)網(wǎng)絡(luò)在自學(xué)習(xí)和函數(shù)逼近方面又具有獨(dú)特的優(yōu)越性，將兩者結(jié)合，用神經(jīng)網(wǎng)絡(luò)來實(shí)現(xiàn)模糊邏輯系統(tǒng)，構(gòu)造了一個(gè)基于模糊神經(jīng)網(wǎng)絡(luò)控制武漢理工大學(xué)博士學(xué)位論文器的船舶航向自學(xué)習(xí)型自適應(yīng)控制系統(tǒng)，提出用改進(jìn)的遺傳算法代替神經(jīng)網(wǎng)絡(luò)中經(jīng)典的bp算法實(shí)現(xiàn)模糊神經(jīng)網(wǎng)絡(luò)的學(xué)習(xí)，綜合船舶航向控制性能和節(jié)能要求，建立了系統(tǒng)的適應(yīng)度函數(shù)。 - For the planar gap and the tridimensional vertical bend of shielded cpw , fdtd simulations are carried out to produce training and testing samples and error - back propagation algorithm is used to train the multilayer perceptron neural networks ( mlpnns ) . rapid and accuracy cad models of these structures are successfully obtained for the first time
對(duì)于屏蔽cpw的間隙不連續(xù)性和垂直互連不連續(xù)性結(jié)構(gòu)，采用fdtd方法獲取訓(xùn)練和檢測(cè)樣本數(shù)據(jù)，用回傳算法訓(xùn)練多層感知器，首次成功地獲得了這些結(jié)構(gòu)快速、準(zhǔn)確的cad模型。 - Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company , the uncertainty of space planning was defined . during this analysis process , linear regression , grey prediction , neural network back propagation algorithm and confidence interval were applied , respectively , to define the uncertainty . compared with those methods , the confidence interval of historical space forecast error , calculated by mathematical statistics , was the reasonable method to define the space forecasting uncertainty
本文從半導(dǎo)體工廠長期生產(chǎn)能力計(jì)劃的頂層即廠房生產(chǎn)面積的計(jì)劃展開,對(duì)一跨國半導(dǎo)體封裝測(cè)試公司提供的廠房生產(chǎn)面積的長期歷史預(yù)測(cè)數(shù)據(jù)以及對(duì)應(yīng)的真實(shí)數(shù)據(jù)進(jìn)行分析,采用線性回歸,灰預(yù)測(cè),神經(jīng)網(wǎng)絡(luò)bp算法,基于數(shù)理統(tǒng)計(jì)的置信區(qū)間的求解等方法分別定義廠房生產(chǎn)面積預(yù)測(cè)的不確定度,經(jīng)多種方法的比較得出,基于數(shù)理統(tǒng)計(jì)方法求解出的生產(chǎn)面積歷史預(yù)測(cè)誤差置信區(qū)間能直觀清楚地標(biāo)定不確定度。 - The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks , guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms , meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system
仿真結(jié)果表明遺傳算法能夠快速穩(wěn)定地學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)，保證全局收斂西安理工大學(xué)碩士學(xué)位論文并且能夠克服傳統(tǒng)誤差反傳算法的一些缺點(diǎn)，也證明了這種神經(jīng)網(wǎng)絡(luò)自適應(yīng)控制結(jié)構(gòu)可以有效解決系統(tǒng)中存在的控制難題，同時(shí)編程容易，便于在實(shí)際系統(tǒng)中應(yīng)用。 - The contents of application of artificial intelligence method in the groundwater sys - tem calculation are very widely and it is unrealistic to research all . so , the author applies accelerating genetic algorithm ( aga ) and adaptive back - propagation algorithm ( a - bp ) in some aspect of the groundwater system calculation . the application processes are realized by one kind of computer language , fortran90
關(guān)于地下水系統(tǒng)計(jì)算的人工智能應(yīng)用研究?jī)?nèi)容極為豐富,難以一一涉及,本文以fortran90計(jì)算機(jī)語言為載體,就加速遺傳算法( aga )和自適應(yīng)神經(jīng)網(wǎng)絡(luò)算法( a - bp )在地下水系統(tǒng)計(jì)算的某些方面的應(yīng)用進(jìn)行了研究。 - To explain how to use the heuristics information of the problem to construct constraint - based solving algorithm , the general constraint satisfaction solving technology was briefly introduced , then the principles and the applicability of constraint propagation algorithm , tree search algorithm and heuristics repair algorithm for job shop scheduling were summarized
摘要為了說明如何利用啟發(fā)式信息構(gòu)造車間調(diào)度的約束滿足求解算法，首先概述了常規(guī)約束滿足求解技術(shù)，進(jìn)而介紹了車間調(diào)度問題的約束傳播算法、樹搜索算法和啟發(fā)式修復(fù)算法的構(gòu)造原理及適用性。
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