神經庫 的英文怎麼說

中文拼音 [shénjīngkù]
神經庫 英文
nerve bank
  • 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
  • 神經 : nerve; nervus
  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. 17 - year involvement in teaching, scientific research and clinical practices, accumulated rich experience ; among the thesis issued, " hypothyroid follicle cancer skull transfer " was selected into the " medical library " by ministry of health, with 20 - year experience, has a profound research on the neurosurgery diagnosis and therapy and attainment of faultage anatomy of brain and spinal cord, ci and mri pictures, firstly carried out microscope neurosurgery operation in north guilin which improved the opreational heal rate and reduced complication and sequela after operation ; rated as " model worker " and " top 10 physician " for nine times

    經過十七年的教學，科研臨床實踐，積累了豐富的經驗，發表的論文中，甲狀腺濾泡癌顱骨轉移一文已入選衛生部的醫學文庫，累積近20年的經驗，對神經外科疾病的診斷，治療有較高造詣，對腦及脊髓的斷層解剖ct mri圖片有較高的成就，率先在桂北地區開展了顯微神經外科手術，提高了手術的治愈率，減少了手術並發癥后遺癥。曾九次評為醫院先進工作者及十佳醫師。
  3. 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。
  4. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  5. 9. a mixed repository which based on rule and ann was studied. the method of reasoning, controlling and repository mange was discussed

    研究了基於規則和神經網路的混合專家知識庫，並對推理機制、控制策略和知識管理等問題進行了深入的討論。
  6. " if you drink a great amount of alcohol on one occasion, at least once a month, the risk of dementia is three times higher ( than in someone who does not regularly consume the equivalent of a bottle of wine in a single drinking session ), even if you are sober in between, " said juha rinne, a neurologist at the turku university in southwestern finland and co - author of the study

    研究作者之一、芬蘭西南部土庫大學神經病學家萊尼說， 「如果你一次喝大量的酒，一個月至少一次，罹患癡呆的危險是3倍高（與1位沒有定期1次喝下1瓶酒的人相比較） ，即使你在2次喝酒的中間是清醒的。 」
  7. 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。
  8. In this paper, the base principle and structure of kbs. ( knowledge base system ) is explained first, and then discuss bp neuralwork, rbf network on structure and atithmetic. in detail. the mixed diagnostic expert system bases on microsoft windows, microsoft vc + + 6. 0 is choosed as program development tool, microsoft sql server2000 is choosed as database development tool. it is composed of four parts

    本論文對混合型專家的理論和實現方法進行研究，詳細地討論了知識庫規則的構造、管理，對bp演算法、徑向基神經網路rbf演算法作了深入的探討和分析，並以船舶動力裝置故障診斷為對象實現混合型專家系統在其上的應用。
  9. The brain disease laboratory of the department of anatomical & cellular pathology has been collecting post - mortem tissues from brains of chinese patients for some years and these formed the " brain tissue bank for chinese ", which is the first and unique in the world for chinese

    中文大學病理解剖及細胞學系腦神經病實驗室由一般常規的屍體解剖中搜集老人癡呆的大腦樣本，建立了全世界唯一的華人大腦庫。
  10. 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。
  11. 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。
  12. The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method

    本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。
  13. " the stakes were very high, " says dr. steven goldstein, the neurologist who treated kubitz in the emergency room at the university of pittsburgh medical center

    在匹茲堡大學醫學中心的急診室里為庫比茲治療的神經病學家斯蒂芬?戈德斯坦因醫生說： 「風險是很大的。
  14. This project intends to construct a parameterized function banks about the internal properties of wavelets aimed at a extensive kind of multi - wavelets and some categories of relatively specific non - separable wavelets with significant practical background, and disclose the essential characters of non - separable wavelets. through optimizing the bases of wavelets, it will build a problems oriented system of self - adaptive wavelets neural network and apply it to the relative problems of signal processing

    本課題擬對比較廣泛的一類多小波及相對特殊但具有十分強烈應用背景的幾類非分離小波建立關于小波各種內在性質的參數化函數庫，並試圖揭示非分離小波的本質特徵；通過最優化小波元和小波基函數，建立面向問題的自適應小波神經網路系統，並應用於相關的信號處理問題。
  15. 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。
  16. According to the operating and fault characteristic of the pulverizing system, the general frame of fault diagnosis system for pulverizing system is presented firstly, then sample compiling module 、 fault style updating module 、 condition monitoring and dealing module 、 fault diagnosis and explaining module 、 data querying and analyzing module etc are established. meanwhile this system is programmed with delphi5. 0 and its interface is easy for operating

    作者首先根據制粉系統運行特性及故障特點，提出了制粉系統故障診斷系統總體框架，然後建立了制粉系統故障診斷知識庫，開發了樣本編輯、故障類型更新、 bp神經網路、監測參數處理、故障診斷及解釋、數據查詢及分析等功能模塊，且採用delphi5 . 0編制了系統程序，設計了良好的人機界面。
  17. ( 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。
  18. The university is seeking government s support for the establishment of the brain bank so that fresh brain tissues can be stored and other sophisticated tests, e. g. brain cell culture, can be carried out. the materials in the bank can be used by scientists and doctors working anywhere in hong kong and will surely benefit the society in the long term

    要對中國人癡呆病作更深入的研究，需要一個更全面的大腦組織庫，並可以貯藏新鮮組織、活細胞或神經細胞培養的庫，香港中文大學計劃向大學教育資助委員會和政府申請撥款，支持研究這個人口不斷老化的社會一定要面對的問題。
  19. 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。
  20. 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。
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