资源列表
SI-Fuzzy-Controllers-good
- C tools for fuzzy controls. Is a handbook
1
- FIR with ANN- neural network
A_very_sim977756232002-457852ngfppr2567
- A very simple example of Neural Networks using back propagation This program is a simple example of Neural Networks using back propagation. My code has all basic functionalities like learning rate, load net, save net, etc. You can have as many layer
Neural_Net1922868102005
- This code is for back propagation neural network in C++.
Takagi-Sugeno-fuzzymodel
- The fuzzy inference process discussed so far is Mamdani s fuzzy inference method, the most common methodology. This section discusses the so-called Sugeno, or Takagi-Sugeno-Kang, method of fuzzy inference. Introduced in 1985, it is similar to the Mam
RomanForts
- Small program to find the best route to follow. Needs improvement but can help understand the concept of the A* Algorithm.
Takagi-Sugeno-FuzzyModelingforProcessControl
- 2:Takagi-Sugeno fuzzy modeling 2.1 Construction of Fuzzy Models 2.1.1 Sector Nonlinearity 2.2 Basic Fuzzy Mathematics for Modeling 2.2.1 Local Approximation in Fuzzy Partition Spaces-2:Takagi-Sugeno fuzzy modeling 2.1 Construction
1
- 遗传算法计算函数最大值，算法在VB中进行调试，感觉不错。-Maximization of genetic algorithm, the algorithm for debugging in VB, I feel good.
ipdps.cc.gatech.edu_1997_s17_365
- parallelization of knapsack problem
matting_CameraReady.pdf.tar
- FuzzyMatte: A Computationally Efficient Scheme for Interactive Matting.More avance than the method bayesien and BELIEF PROPAGATION
TSP
- 利用GA算法解决TSP问题，其中使用了多种选择算法-Solve TSP problem
AstarExample
- 这是一个简单的A*搜索算法程序，模拟从迷宫起点到达另终点搜索过程，以文件形式输出（用字符表示迷宫）。-This is a simple A* algorithm program to simulate the starting point from the maze to reach the other end of the search process to document the form of output (in characters maze).