资源列表
BP
- 三层BP神经网络，VS下编译一下源码即可使用，初始化，训练，测试的步骤都分开写了。-BP neural network, VS compiled at the source can be used, initialization, training, testing of the steps are written separately.
ant-colony-optimazition
- 蚁群优化算法，目前已通过vc++6.0测试，实验数据需自备-Ant colony optimization algorithm, has passed vc++6.0 test, the experimental data must bring their own
kmeans
- kmeans算法，人工智能中用来分类，模式识别-kmeans algorithm
fishertest
- fisher算法，分类器，人工智能，分类算法-fisher algorithm
BPMIP
- 机器学习，多示例学习算法，基于BP人工神经网络，使用matlab实现-Machine learning, multi-instance learning algorithm based on BP artificial neural network, using matlab to achieve
mgsf
- 用人工智能的A*算法实现迷宫问题,环境为VC6.0-The A* algorithm using artificial intelligence to achieve maze problem, environment VC6.0
crbm-drum-patterns-master
- 基于鼓模式的受限玻尔兹曼机的音频分类 能够将不同音乐器材所发出的声音进行训练后进行分类-Drum patterns based restricted Boltzmann machine audio classification can be different the sound of musical instruments can be trained to classify
CPSO
- 用CPSO算法求解带约束的函数优化问题。目标函数为f=(x(3)+2)*x(2)*x(1)^2，求其最小值；约束为g(1)=1-x(2)^3*x(3)/(71785*x(1)^4) g(2)=(4*x(2)^2-x(1)*x(2))/(12566*(x(2)*x(1)^3-x(1)^4))+1/(5108*x(1)^2)-1 g(3)=1-140.45*x(1)/(x(2)^2*x(3)) g(4)=(x(1)+x(2))/1.5-1 决策变量取值范围：x1-[0.05,
NBclassfier
- 贝叶斯情感分类器,基于五倍交叉法来验证。程序可以直接运行，改程序是在基于已经分词的情况下实施的。-Bayesian classifier, emotion to verify five times based on the crossover. Program can be run directly, the program is based on the segmentation of the case.
FUZZY
- 基于模糊系统逼近的自适应控制,一共有6个文件其中4个m文件，一个mdl文件，还有一个word的详细说明，可以直接运行。-Approximation based on fuzzy adaptive control system, a total of six documents which 4 m files, one mdl file, there is a detailed descr iption of a word, you can directly run.
RBF-
- 基于RBF网络逼近的自适应控制,内部包含三个m文件和一个simulink的文件，可以直接运行。-Based on RBF network approximation of adaptive control, interior contains three m file and a simulink file can be run directly.
Bp-neural-network-algorithm
- 人工神经网络算法，课本上copy下来的，希望对大家有所帮助，适合初学者-Artificial neural network algorithm, textbooks copy down, we want to be helpful for beginners