nerve network 中文意思是什麼
nerve network
解釋
神經網路-
In system adopting nerve network recognize the disfigurement, it can recognize the inexistence disfigurement of stylebook. in the following practice, the method will widely spread
系統中採用了神經網路來識別缺陷的種類，能夠智能化的識別樣本中不存在的樣本缺陷，在以後的生產實踐中，這種方法必定會得到更廣泛的應用。 -
Artificial nerve network forecasted yso in clay p - y curves is researched and 8 physical parameters are studied by using the principal component analysis method when the fracture load was not reached for a trial pile under lateral load, the ultimate load of the pile might be predicted to the field - surveyed load settlement data of existing trial pile and by h - s curve extension method and hyperbola method
在對粘性土p - y曲線計算參數y _ （ 50 ）的研究中，對粘性土常規8個物理性質指標進行主成分分析，研究用人工神經網路分析預測粘土p - y曲線中的y _ （ 50 ） 。建立了神經網路計算模型，可用來計算預測粘性土p - y曲線中的y _ （ 50 ） 。 -
Test technique of acoustic excitation presented in this paper can discriminate if the adhesive structure is intensional enough to endure certainty draw strength, through a series of process, for example bringing draw strength to bear on adhesive structure. testing signal through microphone array, choosing signal ' s character, recognizing automatically through manual nerve network, and so on
本文介紹的粘接構件聲激勵檢測方法，通過對粘結結構施加微力、陣列傳聲器檢測信號、信號的特徵提取、人工神經網路的分類識別等一系列過程，完成了粘接結構承受拉脫力合格與否的無損預報。 -
By measuring the temperature of temperature - feeling machine of pre depositing in the box sections, i can get the varying temperature data of different time in box sections, then make use of these temperature test datas, figure out the variety regulation of temperature distribution along the high direction in box section with the nerve network method, then i get temperature fields of box section along the high direction
3 、採用現場實測的方法，通過測量預埋在箱梁截面的溫度傳感器，得到不同時刻箱梁截面的溫度變化數據，然後利用這些溫度測試數據，用回歸分析的方法擬合出沿梁高方向的溫度分佈規律，從而得到箱梁梁高方向的溫度場。 -
Logging data as input of the network, the productivities of oil and gas in a layer of a meter as output of the network, the predict model for of genetic nerve network can be established according to the application of the theories of bp nurve network and genetic algorithms ; 4
應用反饋神經網路理論及遺傳演算法理論，將測井數據作為輸入，每米採油指數及每米采氣指數作為輸出，建立遺傳神經網路儲層產能預測模型。 -
This thesis combines the subject of oil recovery engineering management information system based on internet / intranet ", carried on the deep theory and practice to study to the key technology of the management information system, analysed and compared to many kinds of the management information system, proposed at c / s and b / s mixed mode to use component technology and artificial nerve network realize " oil recovery engineering management information system based on internet / intranet "
本文結合「基於internet intranet的採油工程管理信息系統」課題，對管理信息系統的關鍵技術進行了深入的理論和實踐研究，對管理信息系統多種開發運行模式進行分析和比較，提出了在c s和b s混合的信息系統模式平臺上應用組件技術和人工神經網路理論知識實現「基於internet intranet的採油工程管理信息系統」 。 -
The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for
並且，以爆破現場的實測數據為樣本，採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究，為爆破施工參數的確定提供了技術依據，確保整個爆破工程順利安全進行，並對這三種方法的預測結果進行了對比分析;對比分析表明，三種預測方法計算出來的結果精度相差甚大，從檢驗樣本值與預測結果值之間的相對誤差可以看出，人工神經網路法預測的結果較其他方法更接近於實際值，回歸分析預測法的精度又要高於經驗公式預測法。 -
In this years, micro - electronics technology, computer technology, automation technology and photo - electronics technology develop rapidly, and artificial intelligence and theory of nerve network have deepen and applied, which make inspecting disguise of zonal steel surface more and more intellectual, high precision, high credibility, high velocity
近年來，微電子技術、計算機技術、自動化技術和光電子技術的飛速發展，人工智慧、神經網路理論的深化及實用化，使帶鋼表面檢測向智能化、高精度、高可靠度、高速在線檢測的方向發展。 -
Based on the further study of dynamic characteristic of the tractor - implement combination, according to the integrated control model, which including the flowing three parameters : the engine load rate, drive wheel slip and work resistance, and the three control strategies, which are : highest production efficiency control strategy, oil consume economic control strategy and give attention to the above control strategy, we can adopt different control strategies according to different purpose of the task. applying the theory of the hybrid dynamic system to this case, the three control strategies can be abstracted to three discrete matters, and then the exchange model of the discrete matters of the top layer ( which called manage layer ) of the tractor - implement combination and the function decision model, which based on the nerve network, can be established. through this way, the best ad aptive controlling of the tractor came true
本文研究了拖拉機機組的綜合控制問題及其最佳匹配方法，在深入研究機組動態特性的基礎上，根據發動機負荷率、驅動輪滑轉率和作業阻力三參數的綜合綜合控制模型以及三種綜合控制策略（最高生產效率的控制策略、燃油經濟性的控制策略和兼顧最高生產效率及燃油經濟性的控制策略） ，針對不同的作業目的，採用不同的控制策略，應用混雜動態系統理論，把三種控制策略抽象為三種離散事件，建立了拖拉機機組上層（管理層）離散事件切換模型，並建立了基於神經網路的功能決策層模型，從而實現了拖拉機機組的整機最優控制。 -
Also, the experiments show that when the hme, which is a mixture of the fuzzy network and the expert system based on knowledge, is used to diagnose the fault of the boiler, some points can be attained : both symbol reasoning and nerve network reasoning can be combined very well
同時，實驗結果還表明將模糊網路技術與基於知識的專家系統技術結合的分層混合專家網路應用於鍋爐故障診斷，能實現符號推理與神經網路推理的有機結合，層次清晰、推理效率較高。 -
Fuzzy nerve network vibration control of flexible intelligent beam structures under random excitation
隨機激勵下柔性智能梁結構振動的模糊自適應控制 -
I improve the back propagation arithmetic, and apply fuzzy entropy to the training and studying of nerve network, a new arithmetic based on fuzzy entropy and error is presented
對現有的bp演算法進行了改進，將模糊熵用於神經網路的訓練和學習，提出一種基於模糊熵準則和誤差平方和準則的多準則模式識別方法。 -
5 based on studying artificial nerve network theory, establish the nerve network model of cutting parameter. use back propagation algorithm ( bp algorithm ) as system ' s nerve network learning method. system has realized cutting parameter nerve network intelligentized choosing function
5在深入研究人工神經網路理論的基礎上，建立了切削參數選擇的神經網路模型，採用誤差反傳演算法（即演算法）作為切削參數智能選擇的神經網路學習方法，實現了切削參數人工神經網路智能選擇功能。 -
The author take advantage of the selfsuitable and self - education features possessed by the artificial nerve network, combined such network with other routine data of well - logging, well - testing, etc., for pay zone evaluation, and good results have been achieved
作者利用人工神經網路具有自適應、自學習的特點，將神經網路與常規測井、試油、試井等動態資料相結合進行產層評價，取得了較好的效果。 -
In this paper, the best reinforcement scheme, which was found by nerve network and genetic algorithm from serval reinforcement schemes, was applied to strengthen a prestressed concrete continuous rigid fame bridge with many quanlity faults, such as excess fall deflection of the main span deck > serious web slop crack existing between main pier abutment and one fourth span, and very poor mud jacking quanlity in the prestressing tendon tubs
本文針對某預應力混凝土連續剛構橋所存在的實際問題：如主橋橋面下撓度過大；主墩和四分之一跨徑處均存在較嚴重的腹板斜裂縫；預應力管道壓漿質量較差等。提出了幾種加固方案，並用神經網路和遺傳演算法進一步優化出了較佳的加固方案，進行了加固前後效果對比分析。 -
Application of nerve network on oil - bearing formation with low resistivity
人工神經網路在低阻油層識別上的應用 -
Prediction of nerve network on surrounding rock deformation in yangzong highway tunnel
陽宗隧道圍巖變形的神經網路技術預測 -
This paper by borrowing ideas from the research findings on crack identification in frame structures of domestic, combine the nerve network 、 genetic algorithm and the genetic bp algorithm, uses matlab procedure toolbox to research
本文正是從此研究內容的基礎上，借鑒國內有關平面剛架裂紋識別的研究成果，結合神經網路、遺傳演算法以及將二者相結合的遺傳bp演算法這些優化方法，運用matlab程序工具箱展開研究。 -
Study on artificial nerve network applying for injection mold material selection
人工神經網路在注射模具選材中的應用 -
Firstly, aiming the marketing of hydroelectricity, that is, under the situation of separated plant and network, and entering the market by the competition of price, the author analyzed the advantages of the development of hydroelectricity. secondly the author made a medium - long - period forecast and evaluation of the electric load of the accepting - electricity area by gray - and - nerve network matrix
首先針對水電市場化問題，即在廠網分家、竟價上網的形勢下，水電發展的優勢何在進行了探討；其次應用灰色與神經網路模型對受電區電力負荷進行了中長期預測與評價；通過梯級開發順序的基本理論與方法研究，得出黃河上游水電梯級開發順序的兩個備選方案。
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