中英
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- 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
對于即網絡本身易陷入局部極小點及收斂速度慢的問題，在文中也得到了改進； 2 、對于財政轉移支付中標準收入的測算屬于多指標小樣本的預測問題，文中首次利用粗集理論對初始的指標體系進行約簡，提取出關鍵性的因素作為神經網絡的輸入。 - 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網絡在變壓器故障診斷中的應用，對目前最常采用的bp算法做出了較大改進，在原有算法中引入混沌動力學原理構造了混沌神經網絡bp算法，并提出了訓練樣本集的預處理方法，在仿真訓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
在上述理論基礎上，筆者針對一支個股? ?三峽水利（ 600116 ）利用bp網絡建立了這支股票的估價模型，并將這支個股的估計價格和實際價格曲線進行了擬合，在實踐上也取得了較滿意的結果。 - 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
針對模糊邏輯系統有很強的知識表達能力和邏輯推理能力，但自學習能力比較差，而人工神經網絡在自學習和函數逼近方面又具有獨特的優(yōu)越性，將兩者結合，用神經網絡來實現模糊邏輯系統，構造了一個基于模糊神經網絡控制武漢理工大學博士學位論文器的船舶航向自學習型自適應控制系統，提出用改進的遺傳算法代替神經網絡中經典的bp算法實現模糊神經網絡的學習，綜合船舶航向控制性能和節(jié)能要求，建立了系統的適應度函數。 - 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
對于屏蔽cpw的間隙不連續(xù)性和垂直互連不連續(xù)性結構，采用fdtd方法獲取訓練和檢測樣本數據，用回傳算法訓練多層感知器，首次成功地獲得了這些結構快速、準確的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
本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開,對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析,采用線性回歸,灰預測,神經網絡bp算法,基于數理統計的置信區(qū)間的求解等方法分別定義廠房生產面積預測的不確定度,經多種方法的比較得出,基于數理統計方法求解出的生產面積歷史預測誤差置信區(qū)間能直觀清楚地標定不確定度。 - 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
仿真結果表明遺傳算法能夠快速穩(wěn)定地學習神經網絡，保證全局收斂西安理工大學碩士學位論文并且能夠克服傳統誤差反傳算法的一些缺點，也證明了這種神經網絡自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便于在實際系統中應用。 - 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
關于地下水系統計算的人工智能應用研究內容極為豐富,難以一一涉及,本文以fortran90計算機語言為載體,就加速遺傳算法( aga )和自適應神經網絡算法( a - bp )在地下水系統計算的某些方面的應用進行了研究。 - 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)式信息構造車間調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，進而介紹了車間調度問題的約束傳播算法、樹搜索算法和啟發(fā)式修復算法的構造原理及適用性。
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