资源列表
K-negibour-method
- 利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。-K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.
trafficpredic
- 讲述了基于神经网络的交通流预测方法，较一般传统的线性预测方法精度高-Described the traffic flow based on neural network forecasting method than conventional linear prediction method with high precision
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
ttem
- 神经网络的飞机静液刹车系统设计Neural network design of the aircraft of the hydrostatic braking system-Neural network design of the aircraft of the hydrostatic braking system
ga-tsp
- 遗传算法解中国旅行商问题，里面有45个城市，用遗传算法算出近似最优解
FaceDetect
- UJICOBA DETEKSI WAJAH SAJA
document
- Digit Recognition using neural network
ga-annealing
- 与遗传算法混合的模拟退火算法的应用，已封装，可以使用．-mixed with genetic algorithm simulated annealing applications, encapsulation, can be used.
meanS3VM
- meanS3VM算法源码，matlab实现，具有极强的参考学习价值，周志华-meanS3VM algorithm source code, matlab realize, with a strong reference value of learning, Zhou Zhihua ~~
meanS3VM
- MissSVM是一揽子解决多实例使用半监督支持向量机的学习问题。MissSVM目的是显示，如果假设IID实例，多实例学习可以作为一个半监督学习的特殊情况来看，可能会合并成半的领域和多实例学习领域监督学习。 因此，未来的多实例学习研究应只承担IID袋，避免IID实例假设。 -MissSVM package solution is to use multi-instance semi-supervised support vector machine learning problems. MissS
lbp
- All LBP algorithm, to understand the LBP algorithm has a good help.
BPnetwork
- 关于BP神经网络模型的理论及具体应用研究，是进一步改进模型的很好的理论参考文章。-Theoretical and applied research on the BP neural network model，which is a further improved model and good theoretical reference article.