资源列表
sltoolbox
- 统计学习工具箱，里面含有：图中相关算法，神经网络，支持向量机以及遗传算法等很多的统计学习算法。-Statistical Learning Toolbox
sistema_experto_de_credito_inteligencia_artificia
- Easy example for the management of the intelligence artificial
Neural-Networks-introduction-
- 神经网络入门资料，通过引入小游戏的介绍，细致讲解了神经网络的构成，方式，及实现代码。-Neural Networks in Plain English，It is a good introduction for newlearners.
simulation-contrast-of-BP-and-RBF
- BP神经网络和RBF神经网络的仿真比较，附有程序代码。-BP neural network and RBF neural network simulation compared with a program code.
30-cases-study-onneural-network
- 神经网络学习的30个案例分析，初学者必看，含有详细的代码分析。-Learning neural network analysis of 30 cases, beginners must-see, with detailed code analysis.
8
- 粒子群应用实例的代码，非常明白。感谢使用-PSO application instance of the code, very conscious. Thanks for using
feasure
- 利用BP神经网络对输入的用户自定义的手绘图形进行初分类，得到较好的预测效果-BP neural network to input user-defined classification of the early hand-drawn graphics, get a better prediction
kseg_soft
- 软K主曲线骨架提取代源。基于软K主曲线算法可以提取一笔划字符的骨架，如字母数字的骨架-Soft K replaced the master curve skeleton to mention the source. Master curve based on soft-K algorithm can extract a stroke characters of the skeleton, the skeleton, such as alphanumeric
feasure
- 利用RBF对输入的用户自定义的图形进行分类识别，得到较好的分类效果-Use of RBF for input user-defined graphics classification and recognition, to get better classification results
Kmeans_classfication
- 一个用K近邻实现分类的算法，k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Achieved with a K-nearest neighbor classification algorithms, k-nearest neighbor algorithm for pattern recognition is a relatively simple and classic classification algorithm
shengjingwangluo
- 运用比例共轭梯度动量算法来训练 BP网络-Use proportion conjugate gradient algorithm to train the BP network
GA-PROGRAM(FURTHER)
- 遗传算法的优化升级，寻优能力更强，方便移植，希望对广大同行有所帮助-Genetic algorithm optimization, optimization stronger, easy migration, want to help the majority of peers