资源列表
Particle-swarm-optimization-
- 粒子群算法(优化算法)论文设计(包括源代码实验数据_截图_很全面的)，对于粒子群算法的初学者来说是很好的参考资料-Particle swarm optimization (optimization) paper design (including source code _ screenshot _ experimental data very comprehensive), particle swarm optimization for beginners is a good referenc
MATLAB-program
- Engineering optimization and MATLAB program
sf1864(KNN)
- KNN算法在C语言上的实现-KNN algorithm
KNN(CSHARP)
- KNN算法在进行字典中词分类的算法实现，有例子，很详尽-KNN algorithm
self
- 实现0-9的自联想以及A-J异联想的人工神经网络，c#代码编写-neural network
SMO_SVM
- 这是一个支持向量机的SMO算法的实现，只有主体的算法过程。-This is a support vector machine SMO algorithm to achieve, and only the main course of the algorithm.
BP-matlab
- matlab实现神经网络中的BP算法，基于斯坦福大学机器学习的网络公开课-matlab realize the BP neural network algorithm, Stanford Machine Learning based networks open class
mlclass-ex1
- 斯坦福大学机器学习公开课程第一讲matlab实现作业--线性回归。-Stanford Machine Learning public speaking courses matlab achieve first job- linear regression.
mlclass-ex2
- 斯坦福大学机器学习公开课程第二讲matlab实现作业--逻辑回归。-Stanford Machine Learning public speaking courses matlab achieve second job- logistic regression.
mlclass-ex3
- 斯坦福大学机器学习公开课程第三讲matlab实现作业--多逻辑回归和神经网络表示。-Stanford Machine Learning public speaking courses third matlab realize the job- and more logistic regression and neural network representation.
mlclass-ex4
- 斯坦福大学机器学习公开课程第四讲matlab实现作业--神经网络学习。-Stanford Machine Learning public speaking courses fourth matlab realize the job- neural network learning.
lda-0.2-matlab
- LDA(Latent Dirichlet Allocation模型)matlab实现，重要参考资料-LDA (Latent Dirichlet Allocation Model) matlab realize, an important reference