资源列表
BPNN.py
- BP全称为Back Propagation，意思为反向传播，该方法是用来对人工神经网络进行优化的，即误差反向传播算法。-BP full name is Propagation Back, mean back propagation, the method is used to optimize the artificial neural network, that is, the error back propagation algorithm.
ckn-matlab-v1.0-svn2014-11-19.tar
- Convolutional Kernel Network 算法原码-Code of Convolutional Kernel Network. Used for feature extraction and classification, LEAR France
ridge
- 这段代码可以实现机器学习中的岭回归。自行添加高斯噪声后对每个数据集的七阶多项式用不同的值λ进行岭回归-Perform ridge regression on each dataset with 7th order polynomial with different value λ.Add Gaussian noise.
perceptron
- 实现机器学习中的感知机学习的原始形式和对偶形式，并且用训练数据来检测-Implement the learning algorithms for perceptron in both the original form and the dual form.Test it for the training data.
classify
- 用大数据来训练一个朴素贝叶斯分类器，并且在分类器中加入α=1的拉普拉斯平滑。-Use the data given in table to train a naive Bayes classifier and test it.Add Laplace smoothing into the classifier with α=1,and test angin.
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p
code_3
- 根据用户的电影收视率来预测用户的性别和年龄并且使用10折交叉验证。-predict the gender and age of users based on their ratings on movies.perform 10-fold cross validation. In each fold, users.datx(x=0,…,9) is used for test, and all other users. datxare used for training. You can use m
FNN
- 一个模糊神经网络的例子，供大家学习，参考-A fuzzy neural network for example, for everybody to learn and reference
PICEAgMATLAB
- PICEA-g是一种有效智能多目标优化算法，算法性能，特别是在高维多目标优化问题上，优于传统的NSGA-II以及MOEA/D算法。并且算法无需额外的参数设置，简单易用。 -PICEA-g is a competitive multi/many-objective optimizer. Its performance is better or comparable to the state-of-the-art algorithms such as NSGA-II and MOEA/D on
pso_ldpc
- 将粒子群算法融入ldpc译码过程，实现译码性能的优化，采用c++实现。-The particle swarm into the ldpc decoding process, optimize decoding performance, using c++ implementation.
ysgz
- 本程序包含压缩感知的几种经典重构算法：BP、OMP、MP等，通过matlab实现。-The program includes several classic compressed sensing reconstruction algorithm: BP, OMP, MP, etc., through the matlab implementation.
Unconstrain-lasso
- 在传统LASSO 算法基础上，未加约束的lasso源码，有在这方面应用的可以拿去使用-Based on the traditional LASSO algorithm, without the constraints of lasso source code, application in this area can use it