二乘法曲线拟合 //X,Y -- X,Y两轴的坐标 //M -- 结果变量组数 //N -- 采样数目 //A -- 结果参数
上传时间： 2015-04-06
上传用户：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.
标签： RegressionObject Polynomial functions contains
上传时间： 2015-04-06
上传用户：rocwangdp
输入一个四位数,共八次机会,A代表数字和位置均正确,B代表数字正确,但位置不正确.比如:A2B1代表三个数字正确,两个位置也正确
上传时间： 2013-12-11
上传用户：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.
标签： Asynchronous JavaScript JSP simplify
上传时间： 2014-01-15
上传用户：jkhjkh1982
用matlab编写的4阶R-K程序。对于仿真可能有所帮助。
上传时间： 2013-12-24
上传用户：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.
标签： language translates compiler assembly
上传时间： 2015-04-08
上传用户：Avoid98
TLC0831A8位A/D转换器(C语言驱动程序)
上传时间： 2013-12-03
上传用户：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. 这是一个免费的用于简化Monte-Carlo模拟的C++工具包。这是一个遵守LGPL协议的库。"MCS-libre"代表"Monte Carlo Simulation - libre"。提供了文档和例子。
标签： Monte-Carlo facilitate simulation toolkit
上传时间： 2013-12-06
上传用户：671145514
motorola 单片机 A/D转换， 单片机异步串行通信
上传时间： 2015-04-09
上传用户：450976175
自适应(Adaptive)神经网络源程序 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
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
