资源列表
dijk
- Dijkstra算法可以解决voronoi图中求解最短路径-Dijkstra' s algorithm can solve voronoi diagram to solve the shortest path
RELS
- 增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average
GeneticAlgorithms
- 遗传算法的主程序 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作-The main program of the genetic algorithm binary Gray code, roulette method based nonlinear ranking selection, uniform crossover, and mutation operation, but also the introduction of invers
ACONIP
- 该程序是本人写毕业论文时所编的用于求解整数规划的蚁群算法程序，愿与大家分享-The program is compiled when I write a thesis ant colony algorithm for solving integer programming procedures, and is willing to share with you
algorithmTSP
- 基于回溯法的TSP问题解决方案，附有TSP问题相关的c++和matlab解法资料，及工程文件（西电02105143）-Solution of TSP problem based on the backtracking with TSP problem related to c++ and matlab solution data and project files (Western Electric 02105143)
recognizesEMG
- 把肌电信号的特征值提取出来进行人工网络识别-EMGs eigenvalue extracted manual network identification
pso-esn
- 粒子群算法与回升状态网络相结合来优化最终值。-The particle swarm algorithm rebounded state network combined to optimize the final value.
XOR-problem
- 建立一个含单隐层的双输入单输出网络，实现异或问题： x1(1)=0 x2(1)=1 d(1)=1 x1(2)=1 x2(2)=0 d(2)=1 x1(3)=1 x2(3)=1 d(3)=0 x1(4)=0 x2(4)=0 d(4)=0 训练出相应的网络权值矩阵W-Establish a dual-input single-output network with a single hidden layer,solve the XOR problem: x1
simulate-trigonometric-function
- 建立一个单输入但输出的三层神经网络，模拟三角函数 y=sinx+cosx (-π<x<π) -Establish a single-input single-output three-layer neural network ,simulate the trigonometric function y = sinx+ cosx (-π <x <π)
letter_recognition
- 用一个三层的BP网络实现下列两类字母的识别问题，L字母输出为1，T字母输出为0.-use a three-layers BP network to recognize 2 types of letter,the output of L is 1,the output of T is 0.
Fuzzy-temperature-control-system
- 设计一个模糊温度控制系统，以系统的（温度）误差与误差的变化量作为模糊控制器的输入变量，模糊控制器的输出变量为电压值， 控制器的输入变量与输出变量的模糊化等级为7。-Design a fuzzy control system to control temperature.
chap8_1
- 基于SVR的线性系统逆模型辨识建模及校验的仿真程序，由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。-Linear inverse model identification modeling and verification system simulation program based on SVR identification signal are random signal, not the value of the fixed signal, s