资源列表
TPLPSO
- 基于教与学改进机制的粒子群算法，对算法的精度具有积极的促进作用，对优化算法的学习具有帮助-Particle swarm optimization based on teaching and learning mechanism has a positive role in the accuracy of the algorithm,and is helpful in the study of optimization algorithms.
gm11
- 传统的GM（1,1）模型，适合测绘专业的学生用于研究灰色模型-The traditional GM (1,1) model for mapping majors gray model for research
mianyichengxu
- 免疫算法无功优化，很给力，自己认真学习即可-Immune algorithm
A_star1
- A星算法，求网格图中起始点到终点的最短路径-A star algorithm, solve the shortest path the start point to the end point
k_clique
- k_clique is matlab code to clique the tree problem
PCANet_demo
- pcanet 多层的pca 组成的网络，包含demo-pcanet 多层的pca 组成的网络
fpGrowth
- 经典FP-tree 算法的优化，纯python 实现，适用于频繁模式的挖掘和关联规则的发现-Optimization of classical FP-tree algorithm, pure Python implementation, suitable for mining frequent pattern and association rule discovery
gabasedonmatlab
- ga 基于matlab，遗传算法，两点交叉，二进制编码，可显示中间过程。-ga based on matlab
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法，对于动态环境可以完成有效寻优，跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
interval-neural-network
- 区间神经网络matlab源程序，非常好用，是区间BP神经网络-interval neural network ，BP, matlab
CA
- 改进文化差分算法，用于LP，NLP,MILP,MINLP数学模型的求解-Improved cultural difference algorithm for solving LP, NLP, MILP, MINLP mathematical models
BPwinsorter
- 本程序采用自己编写的一个三层BP神经网络来训练一个葡萄酒分类模型，数据放在data.dat中，包含178个13维的葡萄酒数据样本，取其中的138个样本作为训练样本，40个样本作为测试样本-The program uses I have written a three BP neural network to train a wine classification model, data on data.dat the wine contains 13 178 data samples dimen