资源列表
Voice_Recognition_Basic_Matlab-master
- artificial intelligence measured
bp-分类器
- 这是bp神经网络的M文件，包括BP网络的第一阶段学习期（训练加权系数wki，wij)，BP网络的第二阶段工作期（根据局训练好的wki，wij和给定的输入计算输出），程序里有详细注释。该程序被用来作为分类器使用。(This is the BP neural network M files, including the first phase of BP network learning period (training weighting coefficient wki, wij), the se
pso
- 应用粒子群算法进行迭代优化，寻找目标最优值(Particle swarm optimization (PSO) algorithm is used for iterative optimization to find the optimal target value)
4780
- Weighted acceleration, Implemented with SDRAM run nios, while saving camera data SRAM, Use serial programming examples matlab GUI implementation.
faghd
- It has a wealth of parameter options, Machine learning routines, Undergraduate complete set requirements refer to the standard test models.
wps-back
- 采用tensorflow的深度学习框架，采用opencv，采用时间戳，和特征抓取，自动抓取图片特征，然后存储(Using tensorflow's deep learning framework, opencv, timestamp, and feature capture are used to automatically capture image features, and then store them)
KMeans
- 基于matlab语言编译的用于实现聚类的k-means函数(K-means function compiled by MATLAB language for clustering)
一个android的规划导航路径的实例
- 一个android的规划导航路径的实例，进行路径规划，避碰，路径的导航等功能的程序代码
SVM
- 模式识别分类，支持向量机，二分类算法，库函数实现(Pattern recognition classification)
1.1 - 副本
- 用随机森林对玻璃进行分类 用python集成方法解决多类别分类问题(Classification of glass using random forests)
alpha one
- 人工智能 alpha one 算法，训练30天，效果战胜围棋九段选手(The quadtree level of detail implementation that I described works, but there are many improvements that could be made. As of now, there are three main things that need to be improved or fixed: t-junctions/cracks, p
2pca
- 对数据进行主成分分析，以达到数据的降维。(The principal component analysis is performed to reduce the dimensionality of the data.)