资源列表
plot-number-train
- 一种给散点图加标号的方法，可以方便剔除神经网络不合格的训练数据-For method a scattergram numeral removing substandard neural network training data, can be easily
Trajectory-tracking-from-detector
- The files written out by the detection process are used as input for the tracker to infer trajectories of each object. The tracker needs to deal with different scenarios
BPANN
- BP神经网络算法程序，参数可以调整，经过运行验证。-bp ann
svm_fenlei
- svm支持向量机分类问题，本代码是一对一形式的-Support vector machine classification
K---nearest-neighbour-classifier
- 采用快速K近邻与Kmeans聚类算法来计算前K个近邻，舍弃了一部分不可能成为待测样本的前K个近邻的训练样本，从而减少了计算量，提高了分类速度-Fast K-nearest neighbor Kmeans clustering algorithm to calculate the K nearest neighbors, abandoning the training samples of the part can not become the first K neighbors of the t
PID-parameters-optimization
- 压缩文件中的内容是采用群体智能算法PSO对控制系统的参数进行优化设计。-The contents of the compressed file is the use of swarm intelligence algorithm PSO to optimize the design parameters of the control system.
swarm-intelligence-algorithm
- 压缩文件内是一本有关群体智能算法的中文专著，文中详细介绍了粒子群优化算法的原理，并用案例对其进行了详细讲解。-The compressed file is a monograph on swarm intelligence algorithms Chinese paper describes in detail the principle of the particle swarm optimization algorithm, and a case be explained in detail
Dissertation-For-PSO
- 一篇关于粒子群算法的毕业论文，文中对算法进行了详细分析，并在Matlab环境下，对算法不同的适应度进行了仿真和分析。-A thesis on particle swarm optimization, the text of the algorithm are analyzed in detail in the Matlab environment, simulation and analysis algorithms fitness.
SPSO-matlab
- 压缩文件内是标准粒子群SPSO算法的Matlab实现，供大家学习和借鉴。-Compressed file SPSO of standard particle swarm algorithm Matlab, for everyone to learn from.
PCA1
- PCA算法对图像进行压缩，并评价压缩效果-Use PCA arithmetic to compress photographic images, and evaluate the compressing result.
decisionTree
- 简单的人工智能程序源码，很有效的帮助理解人工智能中决策树模型的工作方式及原理。-Simple artificial intelligence program source code, very effective to help understand the work and principles of artificial intelligence in the decision tree model.
Bayes-iris
- 在matlab环境下，实现鸢尾花数据的贝叶斯分类，没有利用现成的数据命令。-Bayesian classifier in Matlab environment, iris data, there is no off-the-shelf data command.