资源列表
AntDemo.tar
- 另类蚂蚁/ 另类蚂蚁-alternative Ant / a lternative Ant / a lternative ants
ants.tar
- 蚂蚁算法/ 蚂蚁算法-Ant Algorithm / A nt Algorithm / A nt Algorithm
genetic_matlab
- 遗传算法优化工具箱介绍及实例源程序,适合初学者用matlab进行遗传算法的学习-genetic algorithm optimization toolbox introduced and examples of source, for beginners using Matlab for the study of genetic algorithms
SVDcode
- 利用一般最小二乘法和SVD-TLS方法 进行AR参数估计和正弦波频率估计 -use of general and the least-squares method SVD-TLS AR method parameter estimates and the estimated frequency sine wave
anneal_travel
- 用模拟退火算法求解旅行商问题，其中用STL中的Vector来实现路径的存放 -simulated annealing algorithm for the traveling salesman problem, which use the STL Vector to achieve the storage path
Apriori[VC++]
- 频繁集挖掘Apriori算法,使用[VC++]实现的，很不错，值得一看。-frequent Mining Apriori algorithm, the use of [VC] achieve, and quite overseas.
GAcode
- 自适应滤波的遗传算法算法 自适应滤波的LMS算法-adaptive filtering algorithm GA LMS adaptive filtering algorithm
libsvm-alphaseed-2.81
- The program performs alpha seeding within LIBSVM Solvers. Please refer to: D. DeCoste and K. Wagstaff, \"Alpha Seeding for Support Vector Machines for the meaning of alpha seeding\". -alpha seeding within LIBSVM Solvers. Please refer to : D. DeCo
crbf
- 基于RBF的XOR问题，效果不错， 误差极小，几乎为0-XOR problem, the effect is true, the error is very small and almost 0
libsvm-matlab-1.2
- Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression. It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sificati
yichuansuanfacankao
- 遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借 用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性 的提高。这一点体现了自然界中\"物竞天择、适者生存\"进化过程。1962年Holland教授首次 提出了GA算法的思想，从而吸引了大批的研究者，迅速推广到优化、搜索、机器学习等方 面，并奠定了坚实的理论基础。 用遗传算法解决问题时，首先要对待解决问题的模型结构 和参数进行编码，一般用字符串表示，这
(ACO)js
- 目前能实现随意控制蚂蚁的轨迹长度（Path）、数量（Unit）、速度（V）、角度（R）、加速度（dv，dr）。 Kr和Kv是常数，打算将来改成数组，作为用来控制蚂蚁活跃程度的基因。-can now achieve arbitrary control ants length of the track (Path), volume (Unit), speed (V), angle (R), acceleration (dv, dr). Kr and Kv is constant, is plan