neural net 中文意思是什麼
neural net
解釋
神經網路-
Firstly, the three main harmful factors " characters and rules, theirs effect on civil house, demolishment criterion and control measure will be researched systemically. secondly, fuzzy mathematics, system arrangement analytical method and expert consultation method are put forward and discussed specially to set up civil house security fuzzy multi - arrangement elevation model, to evaluate blasting harmful factors " effect to neighborhood civil house ' s safety in the construction of express way, to predict the security of civil house and to bring forward control measures. lately, the forecast of the civil houses " safety by using bp neural net model and optimize of the blasting parameters will also be discussed in the dissertation
本文的主要研究工作有：系統地研究了爆破地震、爆破飛石、爆破空氣沖擊波三大有害因素的特徵及規律、對民房的影響、破壞判據和控制措施；提出並重點論述採用模糊數學和系統層次分析法及專家咨詢法建立民房安全性模糊多層次評價模型，對高速公路建設中爆破有害因素對鄰近民房安全進行評價，預測民房安全性，提出控制措施；利用bp神經網路模型對民房安全進行預測，並對爆破參數進行優化。 -
Predictive model based on artificial neural net for fatigue performances of prior - corroded aluminum alloys
基於人工神經網路的預腐蝕鋁合金疲勞性能預測 -
Aimed at scarcities of current means to calculate document feature item weight, using vsm for reference, this paper advances a method to calculate weight of document feature item based on bp neural net. bp neural net is applied broadly for its simple structure and working stabilization
本文針對現存的文檔特徵項基於internet的信目、檢索若干問題的研究權重統計方法的不足，結合向量空間模型表示文檔特徵的方法，提出利用神經網路技術對文檔的文檔特徵權重進行估計的方法。 -
Predicting groundwater elevation of dashiban landslide area based on artificial neural net
的大石板滑坡區地下水位非線性預測 -
Before the bp neural net forecast fire size class, it needs a process of studying from sample data. the neural net adjusts the weight value and threshold value according to the sample so as to give the linking weight value and threshold to low the difference between output from itself and the expected value
Bp網路在應用於預測預報之前，需要一個網路學習過程，網路根據輸入的訓練（學習）樣本進行自適應、自組織，確定各神經元的連接權w和閾值。 -
Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed
本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。 -
The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data
神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。 -
First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately
根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。 -
For the three stages of interfacing operation, analyzed kinematics of single manipulator catches the object ring, two arms calibrating centering and four arms constructing a parallel mechanism to haul lowering. single manipulator ' s counter kinematics was solved by adopt neural net method, and two arms corresponding counter dynamics was analyzed as well
針對對接作業的三個階段，分別對單個機械手捕捉目標環、雙手協調調整對中及四隻手構成並聯機構拉降的運動學進行了分析；採用神經網路求解單個機械手的逆運動學，並分析了雙手協調的逆動力學。 -
Point to above problems, under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ), the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation, the static and dynamic real - time computation of elasticity - plastic mechanics, solving method of fuzzy finite element and other problems were studied in this paper. and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body, the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element, by which the no - error solving of finite element neural net computation was realized in theory
針對上述問題，在國家自然科學基金（高技術新概念新構思探索） 、教育部優秀青年教師資助計劃、高等學校全國100篇優秀博士學位論文作者專項基金等的資助下，本文對彈塑性力學問題的動靜態的實時計算、模糊有限元的求解方法等問題進行了系統和深入的研究，取得了以下成果： （ 1 ）根據有限元總剛矩陣經修正後具有正定性的特點以及彈性體勢能函數的具體形式，將飽和模式的線性系統（簡稱為lssm系統）引入到有限元的神經網路計算中，在理論上實現了有限元神經網路計算的無誤差求解。 -
Application of dynamic bp neural net in temperature control of cement rotary kiln
一種動態神經網路在水泥回轉窯溫度控制中的應用 -
Of course, to recall keynes, eventually, we re all dead, but more than computational time is at stake, since we may want our neural net to make more than one cut in the space of possible inputs
當然，為了記起keynes ，最終我們都切斷了與外界的聯系，專心思考。但是在計算時間之外，我們仍瀕臨危險，因為我們需要自己的神經網路對可能輸入的空間進行不止一次的切割。 -
Neural - net adaptive controller based on davidon algorithm
演算法的神經元自適應控制器 -
Applied researches on bp neural net engaged into automobile trouble diagnosis
神經網路在汽車故障診斷中的應用研究 -
Nowadays, the study of aluminum electrolysis has got a continue progress. fussy control, neural net, predict control and other artificial intelligence technology have been applied to aluminum electrolysis production. all of these build a stable base of aluminum electrolysis production of stability index and other economy indexes
目前鋁電解的控制技術水平在不斷提高，創新技術層出不窮，模糊控制、神經網路、預測控制、專家系統等人工智慧控制技術用於鋁電解生產過程式控制制已有諸多成功的範例，為鋁電解生產穩定性和技術經濟指標的不斷提高奠定了堅實基礎。 -
4 ) semantic discovering and matching model based bp network the classifier output is used as training data for a bp neural net. the net produced by this can recognize attributes within the database based on their metadata and emerge learning rules
4 ）基於bp網路的語義發現和匹配模型設計建立bp網路模型，通過對樣本數據進行學習進而形成匹配規則，用於異構數據庫之間的語義匹配。 -
3. apply random net and neural net to evaluation and validation of civil aircraft maintainability, validate maintenance time of aircraft lighting system and landing gear system
將隨機網路和bp神經網路應用於民用飛機維修性的評估與驗證中，較好地驗證了飛機照明系統和起落架系統的維修時間。 -
This paper sets up the formation mechanism mode of the carrier causing transportation catastrophe through studying the reason, character and regulation of the vehicle and ship causing the road, water transportation catastrophe. through demonstration investigation, the " shortcomings of existing carrier management system in the road, water transportation is found. using the forewarning management theory, the theory system of the carrier causing transportation catastrophe. inspecting index system and artificial neural net evaluate ( ann ) model is set up. this paper also offer the forecontrolling countermeasure correlation to the inspected status. finnaly, a software edited with powerbuild7. 0 and fortran ?
並通過實證調查，揭示現有公路、水運交通載運工具的管理體系弊端，在此基礎上，運用預警管理理論，構建了交通災害中載運工具的預警管理體系，由此建立了區域交通載運工具安全管理狀況的預警監測指標體系和人工神經網路處理評價模型，建立了相關監測狀況下的預控對策原則。 -
By running this model. according to the back - propogqtion neural net principle, the town land optimized structure model was set up. this model planned the residential land, industrial land, commercial and public building land, transportation land, street and square land, green space, public utilities land, warehouse land were 155
根據b p神經網路結構的基本原理，建立了以第一、二、三產業產值，鎮區常住人口，鎮域總人口為輸入項，居住用地、工業用地、公共設施用地、對外交通用地、道路 -
Neural net predictive control is an important branch of the intelligent predictive method
神經網路預測控制是智能預測控制的一個重要組成部分。
分享友人