二乘法曲線擬合 //X,Y -- X,Y兩軸的坐標 //M -- 結果變量組數(shù) //N -- 采樣數(shù)目 //A -- 結果參數(shù)
上傳時間： 2015-04-06
上傳用戶：wl9454
Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.
標簽： RegressionObject Polynomial functions contains
上傳時間： 2015-04-06
上傳用戶：rocwangdp
輸入一個四位數(shù),共八次機會,A代表數(shù)字和位置均正確,B代表數(shù)字正確,但位置不正確.比如:A2B1代表三個數(shù)字正確,兩個位置也正確
上傳時間： 2013-12-11
上傳用戶：ukuk
The AJAX JSP Tag Library is a set of JSP tags that simplify the use of Asynchronous JavaScript and XML (AJAX) technology in JavaServer Pages.
標簽： Asynchronous JavaScript JSP simplify
上傳時間： 2014-01-15
上傳用戶：jkhjkh1982
用matlab編寫的4階R-K程序。對于仿真可能有所幫助。
上傳時間： 2013-12-24
上傳用戶：bruce5996
The Small C compiler translates a subset of the C language into assembly language. It runs under PC/MS-DOS 2.1 and later. Small C is compatible with the Microsoft and Small Mac assemblers. Small C takes full advantage of the ability of these assemblers to generate relocatable object code, to maintain libraries of relocatable modules, and to link separately compiled program modules. It supports a small memory model with one code and one data/stack segment.
標簽： language translates compiler assembly
上傳時間： 2015-04-08
上傳用戶：Avoid98
TLC0831A8位A/D轉換器(C語言驅動程序)
上傳時間： 2013-12-03
上傳用戶：VRMMO
Free C++ toolkit to facilitate Monte-Carlo simulation. This is a library covered under the LGPL. "MCS-libre" stands for "Monte Carlo Simulation - libre". Documentation and examples are provided. 這是一個免費的用于簡化Monte-Carlo模擬的C++工具包。這是一個遵守LGPL協(xié)議的庫。"MCS-libre"代表"Monte Carlo Simulation - libre"。提供了文檔和例子。
標簽： Monte-Carlo facilitate simulation toolkit
上傳時間： 2013-12-06
上傳用戶：671145514
motorola 單片機 A/D轉換， 單片機異步串行通信
上傳時間： 2015-04-09
上傳用戶：450976175
自適應(Adaptive)神經網絡源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標簽： collection implement Adaptive adaptive
上傳時間： 2015-04-09
上傳用戶：ywqaxiwang
