shiluqiang / RBF_NN_PythonLinks
Python code of RBF neural network classification model
☆47Updated 7 years ago
Alternatives and similar repositories for RBF_NN_Python
Users that are interested in RBF_NN_Python are comparing it to the libraries listed below
Sorting:
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 8 years ago
- 集成学习Stacking方法详解☆79Updated 6 years ago
- a back propagation neural network with genetic algorithm☆83Updated 8 years ago
- PCA和LDA进行数据降维☆38Updated 5 years ago
- 利用Python实现三层BP神经网络☆84Updated 7 years ago
- PSO algorithm for multi-parameters optimizaiton☆66Updated 7 years ago
- 粒子群算法优化支持向量机☆143Updated 3 years ago
- GA_python for multi-parameters optimization☆28Updated 7 years ago
- 支持向量机,Support Vector Machine(SVM),多类分类☆32Updated 9 years ago
- 深度学习代码☆132Updated 6 years ago
- bp 神经网络算法☆128Updated 2 years ago
- K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan☆390Updated 9 months ago
- 高斯混合模型(GMM 聚类)的 EM 算法实现。☆204Updated 7 years ago
- 八种最常用的GAN生成式对抗网络代码框架☆73Updated 6 years ago
- csdn上面的一些相关代码☆118Updated 6 years ago
- 使用libsvm和遗传算法优化支持向量机的cost和gamma参数☆33Updated 13 years ago
- 用Tensorflow实现的深度神经网络。☆142Updated 3 years ago
- 基于Keras的LSTM多变量时间 序列预测☆185Updated 8 years ago
- Machine Learning in Action学习笔记,一个文件夹代表一个算法,每个文件夹包含算法所需的数据集、源码和图片,图片放在pic文件夹中,数据集放在在Data文件夹内。书中的代码是python2的,有不少错误,这里代码是我用python3写的,且都能直接运行☆208Updated 6 years ago
- 机器学习预测系统汇总:包括贝叶斯网络、马尔科夫模型、线性回归、岭回归、多项式回归、决策树回归、深度神经网络预测☆90Updated 5 years ago
- PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.☆42Updated 9 years ago
- 基于遗传算法的特征选择☆127Updated 6 years ago
- python 用GA算法优化BP神经网络☆164Updated 4 years ago
- 利用深度RBM构建多分类模型☆19Updated 10 years ago
- XGB、LSTM、KNNR、SVR预测☆13Updated last year
- Learning and Recording☆34Updated 6 years ago
- Radial Basis Function Neural Network implementation for Python☆92Updated 5 years ago
- RBF(Radial Basis Function) Neural Network Implementation in Python☆51Updated 8 years ago
- 包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用☆287Updated 5 years ago
- ☆31Updated 6 years ago