Polynomial fit functions
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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.
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.
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協議的庫。"MCS-libre"代表"Monte Carlo Simulation - libre"。提供了文檔和例子。
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
