神經數據庫 的英文怎麼說

中文拼音 [shénjīngshǔjùkù]
神經數據庫 英文
neuronet
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 神經 : nerve; nervus
  • 數據庫 : data bank; data base; data pool; data library數據庫管理系統 data base management system; 數據庫計...
  • 數據 : data; record; information
  1. Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features

    本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。
  2. The technology, illation rule and parameter of neural network are supposed to be held in database and make a delicate database system

    知識和推理規則、神經網路參數都必須由數據庫保存，使數據庫系統實現知識數據的一體化存儲與管理。
  3. In this study, the model emphasizes particularly on time series of geological entity and at the same time it realizes the integration of the spatial model and the attributive model by integrating complicated spatial and attributive character of forest resources. program is realized by matlab. the ann toolbox of matlab established many tool functions based on ann theory

    本項研究中，基於gis的神經網路預測模型主要側重的是地理實體數量時間結構序列，模型結合森林資源復雜的空間和屬性特徵，不僅使用了gis關系數據庫中的屬性時間序列值，同時也使用了一定的空間模型，實現了空間模型與屬性模型的有效結z 、口0在程序的實現上採用m八tlab開發環境，其中的神經網路工具箱以人工神經網路理論為基礎，構造了網路分析和設計的許多工具函數。
  4. According to the state of discharge gap, combining database technology, we adopt neuro - fuzzy control technology to realize real - time control of edm process and auto - adjustment on the basis of process state, which ensure the process is in the state of optimization

    依據放電間隙狀況，通過採用神經模糊控制智能技術，並結合數據庫技術，對電火花成型加工過程進行實時控制，根據加工狀態自動進行調節，保證了加工過程處于優化狀態。
  5. The third generation of scada, based on the technology of distributing computer net and relation data base, could realize the large - scale internet connection, which is currently applied in data collection, surveillance control and processing control in the fields of electric power system, water supply system, petroleum and chemical industry etc. the fourth generation of scada would adopt the internet technology, object oriented technology, neural network as well as java technology as its main development tendency, aiming at enlarging the integration of scada and other systems, which could finally meet the needs of business management and integrated security economic circulation

    現在的基於分散式計算機網路以及關系數據庫技術的能夠實現大范圍聯網的第三代scada系統被廣泛應用於電力系統、給水系統、石油、化工等領域的數據採集與監視控制以及過程式控制制等諸多領域。第四代scada系統的主要發展趨勢是採用internet技術、面向對象技術、神經網路技術以及java技術等技術，繼續擴大scada系統與其它系統的集成，綜合安全經濟運行以及商業化運營的需要。
  6. Taking ningxia - inner mongolia reach of yellow river as a study case, a ice regime forecast data warehouse is established for the datamining concerned on the basis of the analysis on the ice regime changing law and its influencing factor of the reach, and then the conceptual mathematic model and artificial neural network model for the parameter calibration of ice regime forecast are built up with gis in combination of the relevant empirical forecast models based on the principles of the hydrological flow muting, thermodynamics and ice hydraulics etc., with which the design and development of the decision support system for the ice regime forecast with the integrated functions of information inquiry, model parameter calibration, temperature forecast and ice regime forecast are preliminarily discussed

    摘要以黃河寧蒙河段為例，在對河段歷史冰情變化規律及其影響因素分析的基礎上，建立冰情預報數據庫，進行數據挖掘，並以地理信息系統（ gis ）為平臺，以水文學流量演算、熱力學、冰水力學等原理為基礎，結合相關經驗預報模型，建立用實測資料進行參數率定的冰情預報概念性數學模型和人工神經網路模型，初步探討了集信息查詢、模型參數率定、氣溫預報、冰情預報等功能為一體的冰情預報決策支持系統的設計與開發。
  7. ( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward

    （ 3 ）通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接，從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞； （ 4 ）在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面，通過標準數據庫查詢語言，客戶能對數據庫中的塑料模具材料信息進行查詢（程序文件列表參見附錄1 ） ；廣東丁業人學1學m學位淪義門）在服務器端利用sp技術建立用戶管理系統，接受用戶的注冊、登錄消求，為不同等級的用戶設定相應的權限（程序文件列表參見附錄1 ） ； （ 6 ）討論了進一步完善該專家系統所需做的工作，提出塑料模具選材神經網路批理的實現方案，並對其中的關鍵問題進行了討論：按照可持續發展的要求，對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。
  8. The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy

    本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。
  9. In the paper, the following main factors are studied, such as developing the expert knowledge - base based on the special knowledge of the explosive demolition of frame building, designing the object - oriented expert system of the explosive demolition of frame building, developing the neural network training example base based on projects, developing the forecasting mode of blast effects with matlab 6. 1, developing the expert system of explosive demolition of frame building with visual b 6. 0, carrying out the connection of the expert system and forecast mode. the system consisted of eleven functional modules, such as the input of initial parameters module, the choice of the blasting method module, the choice of blast mode module, the design of blasting parameters module, the design of charge module, the verifying blasting safety module, the calculating safety of tumble module, the design of detonating net module, the blast effects forecasting module and the calculating volume module

    本文的研究內容有：以框架結構樓房拆除爆破領域的專業知識為基礎製作專家系統知識庫；設計一般面向對象的框架結構樓房爆破拆除設計的專家系統；搜集相關爆破工程實例製作用於爆堆效果預測神經網路訓練的樣本數據庫；選取適當的輸入輸出因素，用matlav6 . 1構建爆破效果預測神經網路模型；用vb6 . 0編程開發出框架結構樓房拆除爆破專家系統，並實現爆破效果預測神經網路模型和專家系統的鏈接。該系統由初始參數輸入、倒塌方法選取、倒塌方案確定、孔網參數設計、缺口形狀及參數、爆破安全校核、傾倒安全校核、爆破網路、爆破效果預測、工程量計算、計算設計說明書等十一大功能模塊組成。
  10. Integral query of heterogeneous database based on neural network technique

    基於神經網路技術的異構數據庫集成查詢
  11. Abstract : a new green air - condition system is designed. it consists of 4 sub - systems : intellectual database, chaotic, neural work and fuzzy control. the new system can produce natural temperature and green environment

    文摘:提出一個新的綠色空調系統，由智能數據庫、神經網路、混沌信號、模糊控制器四大子系統組成，可以產生模擬自然界的用戶自己喜歡的氣溫變化，使用戶可以微風拂面、春風徐徐
  12. Thirdly, adopting b / s model based on neural network model of raw - material mill system, the author builds web network database system of wuhan university of technology cement simulation. the web system uses the prevailing technique of iis plus asp, visiting access database through odbc, opening database with ado and executing sql command, so the user can add, query, delete and update the database on sever through browser, which can achieve the function of web publishing and database management

    第三，本課題採用b s （ browser server ）模式，基於生料磨系統的神經網路模型，建立了武漢理工大學水泥模擬web數據庫系統，利用目前流行的iis + asp技術，通過odbc介面訪問access數據庫，利用ado對象打開數據庫，執行sol命令，使用戶能通過瀏覽器對服務器端的數據庫進行添加、查詢、刪除、修改等操作，實現了數據庫的網上發布和實時管理功能。
  13. ( 3 ) make use of multivariable linear regression 、 multivariable step - wise regression and artificial neural networks and so on to establish corresponding mathematical model

    （ 3 ）針對數據庫中的數據我們採用多元線性回歸、多元線性逐步回歸、人工神經網路等方法來建立相應的數學模型。
  14. Bayesian classification is based on bayesian theorem. it can be comparable in interpretability with decision tree and in speed with neural network classifiers. bayesian classifiers have also exhibited high accuracy and speed when applied to large databases

    該演算法基於貝葉斯定理，可解釋性方面可以與判定樹相比，準確度可和神經網路分類演算法相媲美，用於大型數據庫時該演算法已表現出高準確度與高速度。
  15. On the basis of summarizing the common principle and method of selection of system structure and setting function and means of implementation, we research mainly on such subjects as follows : firstly, we studied the implementation of text extraction and digital signature by cad secondary development technology combine with database technique. secondly, based on method for pre - processing scanning images of drawings, finally, the application of artificial neural network in engineering drawing sign character recognition was researched. in this thesis, we presented the building model and implementation method has some references to the designing work of similar system

    在論述系統結構選取、功能構建以及實現技術的一般原理和方法的基礎上，進行了以下幾個方面的研究：首先研究了cad二次開發技術同數據庫技術相結合實現系統圖紙文本信息西安理工大學碩士學位論文提取和電子會簽功能，然後研究了掃描圖紙的圖像處理技術，為圖紙的矢量化和智能識別提供圖形表達準確、圖形要素和字元要素分離的數據源，最後研究了人} _神經網路技術在} _程圖紙標識字元識別中的應用。
  16. A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype

    論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。
  17. How to establish a chinese clinical controlled trials database of neurology

    中文神經疾病臨床對照試驗數據庫的建立
  18. During the course of compiling fault sample, multi - method of knowledge representation, as produce rule 、 frame 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy

    在編輯制粉系統故障樣本過程中，作者採用了產生式、框架式、神經網路產生規則式等知識表達方法，對制粉系統故障診斷知識進行了有效的表達，同時對數據庫進行規范化處理，以保證數據的完整性，減少數據冗餘。
  19. In connection with the diagnoses problem of 670t / h boiler for chongqing power plant, the hierarchical mixture expert ( hme ) network is developed in this paper. the hme module is employed and the new samples are added and the database for fault diagnosis, fault treatment and interpretation subsystem are broadened to further develop the diagnosis system

    本文針對重慶發電廠670t / h鍋爐故障診斷問題，在原有的研究基礎上採用分層混合專家網路，對其故障診斷系統做了進一步的開發研究工作，增添了分層模糊神經網路模塊與新樣本，拓展了鍋爐故障診斷數據庫及故障診斷處理和解釋子系統。
  20. Further, the paper introduce the transfer of matlabs. l by vb and the management of the expert rules database and the fault diagnosis of the pre - decomposing rotary kiln system. thirdly, the author analyzes and researches this system in detail

    此外，本文還對vb調用matlab5 . 1中神經網路工具箱的方法，應用ado控制項實現樣本數據庫、專家規則庫的管理，以及根據水泥預分解窯系統的特點實現的故障診斷功能進行了介紹。
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