资源列表
cmac
- 小脑模型c函数实现 比较简短的一个实现
NBPSO
- 本代码为二进制多目标粒子群优化算法，标准测试函数下优化效果良好-This code is a binary multi-objective particle swarm optimization, optimization under standard test functions to good effect
NSGA-II
- 本程序为遗传算法工具箱，对单目标多目标都能进行优化，并附有算法说明。-This procedure for the genetic algorithm toolbox for single-target multi-objective optimization can be carried out, together with the algorithm descr iption.
Evolution-Algorithm
- 本代码在NSGA-II中引入进化策略的多目标优化程序，能够找到绝大多数目标函数的最优前沿，用多个标准化测试函数测试，程序优化结果都非常好-This code is introduced in NSGA-II multi-objective optimization evolutionary strategy program that can find the optimal frontier majority of the objective function with multiple sta
Particle_Swarm_Optimization
- 此代码为基本粒子群算法代码程序，有详细的注释非常适合新手入门学习。-This code is the code for the PSO program, there are detailed notes very suitable for beginners to learn.
ModelC_alloy
- fortran语言编写的用于相场计算的用于合金凝固的源程序 ，代码完备-fortran language source code for the phase-field calculations for alloy solidification, code complete
Logistic_Regression
- 逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
adaboost_PY
- 做机器学习的同学都知道最具代表性的是AdaBoost算法（Adaptive Boosting Algorithm），这个是用Python实现的。希望能有帮助。-The well known AdaBoost algorithm (Adaptive Boosting Algorithm). Here is the Python version. Hope it helps.
clustering
- clustering 算法，里面包含有c++源代码，还有一个数据文件。-clustering algorithm
kmeans
- kmeans算法，C++版本，经过测试正常运行。 里面有两个实例。-kmeans algorithm
code
- 数据降维与流形学习，方便初始学者学习数据降维方法和流形学习。-Data dimension reduction and manifold learning
code
- 基于改进LDA和CNN的网络入侵聚类,该文件为matlab版本的原代码-Based on the improved LDA and CNN network intrusion clustering