搜索资源列表
complex_network
- 这是复杂网络研究中研究小世界性质的c程序2。-This is a complex network of small research study of the nature of the world c procedures 2.
complexnetworkandchaos
- 分别用于复杂网络的bbv和tde模型计算,此外在小世界上模拟计算混沌振子的同步行为。-Separately for the complex network of bbv and TDE model calculation, in addition to the small-world simulation on chaotic oscillator synchronous behavior.
small-world
- 程序以WS小世界模型及其改进版(by Newman and Watts (1999a).)为基础建立网络模型,计算网络平均距离,验证“六度分割”理论-Procedures to WS small world model and its improved version (by Newman and Watts (1999a).)-Based networking model to calculate the average distance network, verify the " s
sw-lorenz
- 本程序模拟计算复杂网络中的混沌同步控制,用于计算小世界网络中节点为lorenz振子-This procedure simulated a complex network of chaotic synchronization control, used to calculate the small-world network node for the Lorenz oscillator
Main
- 基于fortron的BA无标度小世界网络模型的生成程序,遵循复杂网络的增长与优先连接-the generate of BA scale-free network in the environment of fortron ,follow the complex network of growth and priority connection
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器(判别分析,贝叶斯,神经网络,支持向量机,决策树,基于规则的分类器,升压、装袋、堆放、随机森林和其他合奏,广义线性模型,线性,偏最小二乘法和主成分回归,logistic回归、多项式回归、多元自适应回归样条等方法),实现在WEKA,R(有或没有插入包),C和Matlab,包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class