资源列表
Ant
- 用蚁群算法解决0-1背包问题。 用蚁群算法解决0-1背包问题。-Using ant colony algorithm to solve 0-1 knapsack problem.
11
- 对车间工件加工排序问题，可以用遗传算法等-Workpiece on the shop scheduling problem, genetic algorithms can be used
job-shop-GA
- 利用实数编码，实现车间调度的遗传算法代码-Job-shop GA
Apriori
- 数据挖掘算法包括Apriori算法源码，遗传算法，神经网络算法-Data mining algorithms Apriori K—means
qfs
- 启发搜索八数码，采用启发式算法，自主学习~-Inspired search for eight digital,
K-average(N-dimension)
- K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类，代码中附加了详细的原理性说明，还有相关例子提示，效果不错-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points, the code attached to the principle of detailed instructions, and tips
iosdata(N-dimension)
- ISODATA算法实现由原来二维扩展到任意维样本点得聚类分析，具有很强的应用性，代码中对原理性东西作了详细的注释-ISODATA algorithm extended to any dimension from the original two-dimensional sample points have to cluster analysis, has a strong application, the code of the principle of detailed notes of wh
Fuzzy-probability-of-water-shortage
- 基于模糊概率的水资源短缺风险评价模型及其应用-Fuzzy probability of water shortage risk assessment model and its application
NSGA-II
- NSGA-II matlab 源代码，可更改-NSGA-II matlab source code, change
yichuansuanfaC
- 遗传算法是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型. 生存+检测的迭代搜索过程是它的核心. 具体分成五部,其中每步就是程序实现过程: 参数编码(实际问题编码到遗传基因),初始群体设定(祖先),适应度函数的设计(生存选择),遗传操作设计(遗传+变异),控制参数设计(交叉率0.2-0.99,变异率0.001-0.1). -Genetic algorithms are simulated Darwinian natural selection of genetic sel
bpznok
- 人工神经网络的程序 完成异或的要求 这样你能很轻松的了解bp算法 -The utility of artificial neural networks or different requirements so you can easily understand the bp algorithm