EclipseTrader is a stock exchange AnalySis system, featuring shares pricing watch, intraday and history charts with technical AnalySis indicators, level II/market depth view, news watching, automated trading systems, integrated trading.
標簽： EclipseTrader featuring exchange AnalySis
上傳時間： 2016-04-13
上傳用戶：shizhanincc
A Tutorial on Principal Component AnalySis.Principal component AnalySis (PCA) is a mainstay of modern data AnalySis - a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box.
標簽： Principal Component component Tutorial
上傳時間： 2016-04-14
上傳用戶：aysyzxzm
those files are the data envelopment AnalySis programs .they can be operated in the lingo effectively.
標簽： envelopment effectivel the AnalySis
上傳時間： 2013-12-10
上傳用戶：shizhanincc
介紹matlab在控制過程中的應用。They are designed to help you learn how to use Matlab for the AnalySis and design of automatic control systems.
標簽： AnalySis designed matlab Matlab
上傳時間： 2014-08-17
上傳用戶：sk5201314
Probabilistic Principal Components AnalySis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector decomposition of X.
標簽： Probabilistic Components Principal AnalySis
上傳時間： 2016-04-28
上傳用戶：qb1993225
Coverity_White_Paper-SAT-Next_Generation_Static_AnalySis.pdf for Program AnalySis
標簽： Coverity_White_Paper-SAT-Next_Gen eration_Static_AnalySis AnalySis Program
上傳時間： 2013-12-23
上傳用戶：ouyangtongze
realize AnalySis and design for computer-controlled system
標簽： computer-controlled AnalySis realize design
上傳時間： 2014-01-12
上傳用戶：q123321
The neuro-fuzzy software for identification and data AnalySis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，據高手說，非常有用。
標簽： identification neuro-fuzzy implemented AnalySis
上傳時間： 2014-01-12
上傳用戶：zgu489
I AnalySis the undermodulation,total modulation and over modulation.And the power distribution ,spectrum.you can understand the basic of am.
標簽： modulation undermodulation distribution the
上傳時間： 2013-12-17
上傳用戶：sevenbestfei
面向對象分析與設計(UML.2.0版)中文版 <<Object Oriente AnalySis & Design(cn)>> 通過Java用例來介紹UML
標簽： UML AnalySis Oriente Object
上傳時間： 2014-07-26
上傳用戶：小儒尼尼奧
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