资源列表
EM
- EM algorithm is the machine learning a very important algorithm, is expected to maximize algorithm
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.
bp1
- 基本的BP算法，将训练样本和测试样本已载入，可根据需要更换上述样本-Basic BP algorithm, the training samples and test samples have been loaded, may need to be replaced in accordance with the above-mentioned samples
circle1
- 非常好用的遗传算法！！！！！！！！画圆相当好使-The genetic algorithm is very easy to use! ! ! ! ! ! ! ! Circle quite so
genetic-algorithm
- 基本遗传算法的函数最优化(预选择机制) 根据源码改编-The most basic function of genetic algorithm optimization (pre-selection mechanism)
Project_Scheduling_Problem
- 模糊选址的工程调度问题，模型及相关程序代码-fuzzy site project scheduling problem, models and related code
gggaaa
- 含有多个遗传算法的实例，对初学者很有帮助，可以用作遗传算法学习。-Genetic algorithm with multiple instances, useful for beginners, can be used as genetic algorithm learning.
gasrc
- 专家系统，实现动物识别的人工智能系统，前向后向匹配-Expert system, artificial intelligence systems to identify animals
rule-based_system_unix_c
- Rule-Based Systems Example in Unix/C
Inverover
- 对郭涛算法中Inverover算子的一次模拟-Guo Tao algorithm on a simulated operator Inverover
THREADdd
- 多任务应用系统开发和神经网络模拟系统-Application of multi-tasking system development and neural network simulation system
lms
- 用lms分类器实现了比较准确的分类，同时给出了实验的结果。运行正确，直接调用程序即可。-Lms classifier achieved with the more accurate the classification of the experimental results are given. Running correctly, you can directly call the procedure.