资源列表
lasso
- 线性回归里的最小二乘估计，以及应用坐标下降的岭回归和Lasso的回归的python实现(Ridge regression and Lasso regression)
precdict
- 基于神经网络对癌症的预测 预测结果 多特征线性回归预测癌症(Prediction of Cancer Based on Neural Network Multi-feature Linear Regression)
tensorflow-mnist
- 改进了官方的MNIST进阶demo，准确率提升。(The official MINIST advanced demo is improved and the accuracy is improved.)
bp_mnist
- matlab写的bp神经网络对mnist数据集进行学习分类(Learning and classification of MNIST data sets based on BP neural network written by MATLAB)
convolutional_network
- 用tensorflow搭建卷积神经网络实现手写数据集的识别(Recognition of Handwritten Data Set by Constructing Convolutional Neural Network with Tenorflow)
85375562RBF_0317
- 径向基（RBF）神经网络进行剩余寿命预测,绝对可运行！(Radial Basis Function (RBF) neural network to predict the remaining life)
Cnn_train_rollingball
- 卷积神经网络实现CWRU滚动轴承数据集故障分类(Fault classification of volume and network)
小波神经网络
- 小波神经网络代码预测模型，用于时间序列的预测。(This is a source code about wnn. The code is coding by matlab 2016a and it can apply to predict someting based on time series.)
30577162cmac
- 本控制器采用CMAC前馈控制，CMAC采用有导师的学习算法。实现了albus论文里面的小脑模型，并编写了程序！不错！值得分享！！！(This controller adopts CMAC feedforward control, and CMAC adopts learning algorithm with tutor.Realized the cerebellum model in the albus paper, and wrote the program!Good job!Worth sh
BPNN
- 采用BP神经网络设计男女生分类器。采用的特征包括身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征，BP神经网络包含一个隐层，隐层结点数为6。(BP neural network is used to design the classifier for boys and girls. The features used include height, weight, whether you like mathematics, whether you like literature,
rbf500
- RBF神经网络建模，也可适用于多输入多输出(RBF neural network modeling can also be applied to multi input and multi output)
MATLAB
- matlab中可用于预测的三次指数平滑法，针对有二次趋势的数据(Cubic exponential smoothing method for prediction)