资源列表
plot_kmeans_assumptions
- Clustering using K-Means Algorithm
2016flower-pollination-algorithm
- 最新的智能算法，国内最具有代表性的关于花授粉算法的改进论文。-The latest intelligent algorithms, the most representative of the domestic research on the improvement of flower pollination algorithm.
Bi-level-programming-model
- 双层规划模型，遗传算法，多目标优化，源代码-Bi-level programming model of basic Matlab source code
optimization-modelroad-network
- 双层规划，禁忌算法，道路交通规划，多目标优化-Based on the optimization model of regional road network double tabu genetic algorithm Pan Genan
CF-with-RBM
- RBM的CF，单模型效果和SVD相似，只是error在不同的地方，所以结合起来可以提升效果，总觉得RBM不够intuitive，这次实现也遇到很多困难-RBM of CF, a single model and SVD similar effect, but error in different places, so you can combine to enhance the effect, always feel RBM enough intuitive, this realization
Artificial-Neural-Networks
- 深度学习，人工神经网络的模型，逐层学习算法，可以构建多层的-deep learning, artificial neural network model, learning algorithm, can construct a multi-layer
nn1
- 详细的BP神经网络的实现。通过此代码可以加强对算法本身的理解。-Implementation details of BP neural network.
ImmuneGeneric
- 基于疫苗的免疫遗传算法，将人工免疫算法与一串算法相结合，有比较好的效果-Vaccines based on immune genetic algorithm, artificial immune algorithm and a bunch of algorithms combined with relatively good results
Neural-Network
- 神经网络去噪+matlab程序+神经网络去除随机脉冲干扰-Neural network neural network denoising+matlab program+ removing random pulse interference
pos_mlp
- Multi Layer Perceptron for binary classification using Python. Also showing hoe to do K-Folding in python.
python_pnn
- Probabilistic Neural Network for binary classification in python. Also using K-Folding technique in python.
Sparse-Autoencoder
- 神经网络稀疏自编码器的实现；从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。-Sparse neural networks since implementation of the encoder interception of a size of 8* 8 picture small patches given a lot of sheets natural picture