资源列表
OverlappingLinkCommunities
- 复杂网络中社区的划分程序，帮助划分重叠社团-community detection in complex networks.
semo2_c_source.tar
- 多目标优化算法——Simple Evolutionary Multiobjective Optimizer -SEMO2 is a population-based evolutionary algorithm for multiobjective optimization. This algorithm uses an archive of variable size that stores all non-dominated individuals. Parents are chosen
Genetic-algorithm-
- fortran语言编写的遗传算法程序，对于学习人工智能的人员很有帮助。-fortran language genetic algorithm for learning artificial intelligence staff helpful.
TS_fuzzy
- TS模糊，包括聚类数选取，输入选择，前件辨识，后件辨识等-TS Fuzzy Model
AntTsp
- 蚁群算法的实现并且通过蚁群算法来解决TSP问题，程序中包含了实验数据，可以直接运行。-And realize ant colony algorithm to solve the problem by ant colony algorithm TSP program contains experimental data, it can be run directly.
IPSO
- 结合LPSO和GPSO的优点，该MATLAB程序实现一种时变参数的改进粒子群优化（IPSO） 算法。在IPSO中，粒子在向全局最优和局部最优粒子学习的同时，还向种群中最优粒子学习，因此具有较强的全局寻优能力。-Combined with the advantages of LPSO and GPSO, the MATLAB program implements a modified particle swarm optimization (IPSO) algorithm with time-va
fbebh
- 车牌识别定位程序的部分功能，最小均方误差（MMSE）的算法，AHP层次分析法计算判断矩阵的最大特征值。- Part of the license plate recognition locator feature, Minimum mean square error (MMSE) algorithm, Calculate the maximum eigenvalue judgment matrix of AHP.
Improved-genetic-algorithm
- Improved genetic algorithm, fuzzy mean clustering
tensorflow-cnn
- 基于TensorFlow的mnist数据集识别，使用CNN的方法，采用梯度下降学习(MNIST data set recognition based on TensorFlow, using CNN method, using gradient descent learning)
TSPGOOD
- 基本蚁群算法的matlab实现，可以用于求解城市间的最短路径问题。-Matlab implementation of basic ant colony algorithm can be used to solve the shortest path between cities.
Java语言TSP递归程序的优化
- 因为递归程序运行的效率一般都比较低,本程序用java语言来实现TSP递归程序的优化-because recursive program run average efficiency are low, the procedure used java language to achieve TSP recursive process optimization
MyApp
- 一个关于经典TSP问题的模拟退火算法的实现-A classic TSP problem on the simulated annealing algorithm