资源列表
CS_BP重构
- bp重构算法程序，压缩感知重构算法，包含测试程序(BP reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)
adaboost_test
- 一个简单的基于matlab实现的adaboost分类器算法实现(A simple implementation of AdaBoost classifier algorithm based on MATLAB)
RBF
- RBF神经网络用于三分类 完整matlab算法 可运行(RBF neural network for three classification Complete matlab algorithm Executable)
simpleBP
- bp神经网络用于三分类 自己改动变步长算法 可运行(BP neural network for three classification Change the step size algorithm by oneself Executable)
BP
- 神经网络负荷预测，可用于负荷预测，方便快捷。(Neural network load forecasting can be used for load forecasting, which is convenient and quick.)
遗传算法对BP网络权值阈值进行优化实例
- 遗传算法对BP神经网络权阈值进行优化，运行可用(Genetic algorithm is used to optimize the weight threshold of BP neural network.)
lle
- 实现非线性的数据降维，很简单的代码，比较容易明白(Achieve nonlinear data dimensionality reduction, very simple code, easier to understand.)
SVM
- 调用于sklearn平台的支持向量机算法，有着较好的分类能力(The support vector machine algorithm for sklearn platform has good classification ability)
Naive Bayes
- 调用于sklearn平台的朴素贝叶斯算法，有着较好的分类能力(The naive bayes algorithm for sklearn platform is a good classification capability.)
ANN
- 调用于sklearn平台的人工神经网络算法，有着较好的分类能力(The artificial neural network algorithm used in sklearn platform has good classification ability.)
logisitc regression
- 利用逻辑回归原理算法实现经典的鸢尾花分类问题(Using logistic regression algorithm to realize classical iris classification problem)
LM神经网络模型代码
- 使用LM神经网络分类，程序源码。LM神经网络能达到很好的分类效果。(Using LM neural network classification)