樣本框 的英文怎麼說
中文拼音 [yàngběnkuàng]
樣本框
英文
samplebox-
Gets a visual style element that represents a text box caret
獲取表示文本框插入符號的視覺樣式元素。The style of the border around the text box labels
文本框標簽周圍邊框的樣式。Similarly, you can use client script to check keyboard entry in a text box character by character, change the appearance of the page dynamically, or perform any other task that is primarily oriented to the user interface and that requires immediate response
同樣，可以使用客戶端腳本執行以下三項操作：一是逐字元檢查文本框中的鍵盤輸入；二是動態更改頁面外觀；三是執行主要面向用戶界面（ ui ）的任何其他任務和要求立即響應的任務。How to get the optimal fisher discriminant vectors efficiently in singular case is a very difficult and critical problem. in this paper, we try to solve this problem in theory
該文從理論上解決了奇異情況下基於fisher準則的最優鑒別矢量集的求解問題，為高維、小樣本情況下線性鑒別分析方法建立了一個統一的理論框架。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。Then, lda is followed and employed for the second feature extraction in the transformed space. based on this framework, a combinatorial optimal lda ( olda ) algorithm is proposed. experiments is performed on orl face image database as well as nust603 face image database, and the experimental results indicate that olda is robust, efficient and superior to the previous lda - based methods in terms of recognition accuracy
進一步地，在該理論框架下，具體給出了處理高維、小樣本問題的組合最優的線性鑒別分析演算法，在orl標準人臉庫和nust603人臉庫上的試驗結果證實了該方法的卓越性能，在識別率方面均優于以往的同類方法。Withal, basing on study on the domestic and foreign farmland appraisal, on introduction land resource use trait in outskirts hill chongqing, the thesis introduces firstly international all - purpose five principles of sustainable land use management, exerts delphy to accept or reject repeat index elected, manages ahp and dsr to demonstrate system with bishan of representative outskirts hill county chongqing as a sample, studies on farmland appraisal index system of outskirts hill chongqing, and looks forwards to favoring farmland appraisal work of chongqing and doing indeed southward hill zone. the central conclusion as follows : 1 in the background of town land appraisal constantly perfect in our country, the cultivated land value management, as the part of land market, is more and more important
對此，本文在分析國內外農用地分等定級研究的基礎上，通過對重慶市近郊丘陵區土地資源利用特點的詳細介紹，引入國際上通用的持續土地利用管理的五大原則的基本框架，運用特爾斐法對所選指標進行多輪取捨，結合層次分析法、 「推動力?狀態?反應」法等數學方法，以重慶市典型的近郊丘陵縣? ?璧山縣為體系論證樣點進行體系論證，就重慶市近郊丘陵區農用地分等定級指標體系作以研究，以期對重慶市乃至南方丘陵地帶農用地分等定級工作的開展有所裨益。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。Being different from traditional neural network or nn, nn is based on traditional statistics, which provides conclusion only for the situation where sample size is tending to infinity, while svm is based on statistical learning theory or slt, which is a small - sample statistics and concerns mainly the statistic principles when sample are limited, especially the properties of learning procedure
支持向量機（ svm ）是九十年代中期發展起來的新的機器學習技術，與傳統的神經網路（ nn ）技術不同， svm是以統計學習理論（ slt ）為基礎， nn是以傳統統計學理論為基礎。傳統統計學的前提條件是要有足夠多的樣本，而統計學習理論是著重研究小樣本條件下的統計規律和學習方法的，它為機器學習問題建立了一個很好的理論框架。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。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。Figure 9 shows sample html code to create the language - selection box
圖9顯示了創建語言選擇框的樣本html代碼。Gets a visual style element that represents a read - only text box
獲取表示只讀文本框的視覺樣式元素。We empirically test the return serial correlation of shanghai stock market under the vr ( variance ratio ) test framework. we suggest that the test results of index and individual stocks are consistent with the exist results. the index return is positive serial correlation and individual stocks returns are weakly negative serial correlation
2 .我們使用高頻交易數據，在方差比檢驗的框架下檢驗了上海證券市場收益率的序列相關性，我們發現在市場指數和個股樣本方面的檢驗結果與以往的研究結果存在一致性，即指數收益率存在正序列相關性，而個股收益率存在弱負序列相關性。Just as you would place a text box control on a windows form, you place a
就像在windows窗體上放置文本框控制項一樣，您可以在First, method for initialization of wavelet basis in wavelet frames is proposed ; second, according to the data distribution, a modified method for rough selection of wavelet basis is given ; and the last, an adaptive projection algorithm combined with aic criterion is used to purify the wavelet basis, meanwhile finishing the parameters identification
首先在小波框架內提出一種小波基初始化方法；然後根據樣本的分佈特點，提出一種改進的小波基粗選方法；最後將自適應投影演算法與aic準則相結合，對小波基進行精選，同時完成網路參數的辨識。In this paper, the main frame of the graph data collection system of dmas is provided, the basic principle of the hardware system is analyzed, and the functions of automatic focus, automatic sampling, and picture joint are described at length
本文主要介紹了dmas智能化鐵譜分析系統的圖像數據採集系統的基本框架，分析了系統的硬體原理，詳細描述了自動聚焦、自動采樣、圖像拼接等具體功能的實現。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。Having taken 800 television commercials from the 4 samples which represent respectively contemporary chinese television commercials, american television commercials, old chinese television commercials and audience ' s favorite television commercials, we use the revised polly ' s measure frame and carry out demonstration measurement and data analysis
在選取分別代表當代中國電視商業廣告、美國電視商業廣告、中國電視商業舊廣告、受眾喜愛的電視商業廣告的四個樣本共800條電視商業廣告之後，我們借用修改後的伯利廣告文化價值測量框架進行了中國電視商業廣告文化價值觀的實證測量和數據分析。It support label, button, textbox include single line, multiline or password style, radio, checkbox, list box, dropdown list, picture box, group box, panel, progressbar and links between with controls
支持文本標簽，按鈕，文本框支持單行，多行或密碼樣式，單選框，復選框，列表，下拉列表，圖片框，組合框，面板，進度條以及元素間的鏈接關系。分享友人