资源列表
java
- 工具libsvm3.14版本的java源码-libsvm3.14 version of java source code
svm--matlab
- matlab智能算法30个案例分析源码之--支持向量机的分类--基于乳腺组织电抗阻性的乳腺癌诊断 包括原始数据和SVM分类代码 是学习支持向量机的好的案例-matlab intelligent algorithm analysis of 30 cases source code- support vector machine classification- based on the electrical resistance of breast cancer diagnosis in bre
monituihuo
- 遗传模拟退火+聚类 源程序+数据 学习该算法的重要案例-Genetic simulated annealing the+ clustering source+ data to learn the important case of the algorithm
pso
- 粒子群算法多目标搜索 matlab源程序-Multi-objective particle swarm optimization matlab source
GA--yichuansuanfa
- 遗传算法用于函数优化 matlab源程序-Genetic algorithm for function optimization
article-of-pp
- 三篇投影寻踪的经典文献 基于投影寻踪和遗传算法的一种非线性系统建模方法； 基于投影寻踪模型和加速遗传算法的石羊河流域水资源承载力综合评价； 基于遗传算法的投影寻踪聚类模型对银川市各地区水资源承载能力评估. -Three classic literature Projection Pursuit based on genetic algorithm based on projection pursuit model and accelerating genetic algorith
ddd
- 一些简单的数学计算方法 帮助大学计算的线性问题-Some simple mathematical calculation method to help the university to calculate the linear problem
LMS2dim3s
- 神经网络，最小方差3类可分问题的研究。matlab实现，注释很详细。-Neural network, the minimum variance separable problem. matlab realize, very detailed notes.
CH3Clustering
- 基于k-means的聚类编程，例如：随机选取k个中心点，经过计算每个点到k个中心距离的远近，将其归类。最后总的距离平方差最小，即停止。-Programmed based on k-means clustering, for example: randomly select k central point has been calculated for each point to the k center distances, will be classified. The final total
particle-swarm-optimiztion
- 粒子群算法是一种有效的全局寻优算法，最初由美国学者1951年提出。-The particle swarm optimization is an effective global optimization algorithm, originally developed by American scholars in 1951.
ant-colony-optimization
- 蚁群算法是近年来提出的一种基于种群寻优的启发式搜索算法。该算法受到自然界中真是蚁群通过个体间的信息传递，搜索。-The ant colony algorithm is proposed in recent years a heuristic search algorithm optimization based on population. The algorithm is by nature really ant colony to pass information between indiv
gray-system
- 灰色系统知道系统的一些简单信息，但是并没有完全了解该系统，只能根据统计推断或某种逻辑思维来研究该系统。-The gray system know some simple information system, but did not fully understand the system, to study the system can only be based on statistical inference, or some kind of logical thinking.