资源列表
E2LSH-0.1
- 局部敏感哈希算法进行数据查找和召回。可以实现最近邻查找、局部敏感哈希算法查找，并且比较两者的召回率。-Local sensitive hashing algorithm to find and recall data. Find the nearest neighbor can be achieved, local sensitive hash algorithm to find and compare the recall.
simulated-annealing
- 清华大学本科生智能优化课程报告，用模拟退火算法和遗传算法解决TSP问题，含核心代码和注释-Tsinghua University undergraduate course reports intelligent optimization, simulated annealing algorithm and genetic algorithm to solve TSP problem, including the core code and comments
eleeye
- 中国象棋。ucci中国象棋引擎elephanteye的源码。拥有很强的棋力。为开源软件。著作权归原作者所有。-Chinese chess engine source code
ChessPro
- 自己开发的一个象棋程序，智能不错。有时候还下不过他-a chinese chess program.very intelligent.
Q1
- This algorithm routing by reinforcement learning
mrvm
- 多分类相关向量机程序，有运行demo，运行速度快，无bug-More relevance vector machine classification procedures, run demo
GAAS
- 遗传算法的matlab程序，可以解决函数的极值最小值问题。-GA can solve the unlinear problems.
clustering
- 基于快速搜索数据密度峰值的聚类算法是一种基于聚类中心具有较近邻点有更高密度且其与更高密度点间有着较大的相对距离的一类算法。-Clustering by fast search and find of density peaks is based on the idea that cluster centers are characterized by a higher density than their neighbors and by a relatively large distance
face-recognition
- 基于神经网络的自动人脸识别模型，研究利用神经网络进行人脸识别的性能，通过与其它分类算法比较，为将来更进一步的人脸识别算法研究或者软件设计提供设计依据。-Automatic face recognition based on neural network model to study the use of neural network recognition performance, by comparison with other classification algorithms, provi
WSN
- WSN(无线传感器网络)的初期模型建立以供后期仿真，模拟所用。-WSN (Wireless Sensor Networks) Ausgangsmodell für die Post-Simulation, die Simulation verwendet
New-Extreme-Learning-Machine
- 新神经网络 Extreme Learning Machine 比SVM快，附4个例子-a new neural networks algorithm faster than SVM, with 4 examples
HousePrice(gradient-descent)
- 利用机器学习算法实现南京房价预测。已知2000年至2013年的南京房价，利用梯度下降法预测2014年南京房价。-Nanjing using machine learning algorithm to predict prices. Known 2000-2013 Nanjing prices, using the gradient descent method to predict 2014 Nanjing prices.