资源列表
BPtrain
- BP神经网络实现测试数据预测(将训练集与测试集数据进行归一化 建立BP神经网络，并训练；利用训练好的BP神经网络对测试集中的23个样本的抗压强度进行预测；输出结果并绘图)-BP neural network to predict the test data (the training set and test data set is normalized the BP neural network and training use of the trained BP neural netwo
clementine8.1
- clementine8.1中文手册经典的数据挖掘软件说明-clementine8.1 Chinese classic manual data mining software Note
adapting_GA
- 关于自适应遗传算法的MATLAB程序还附有实验测试结果抓图-On Adaptive Genetic Algorithm MATLAB program also included the experimental test results Grab
LeHeHe2009_2_17
- 华泰证券公司股票交易时有关费用明细及交易利润得到。有关费率可根据实际开户公司更改-Huatai Securities Company stock when the cost details and trading profits. The relevant rates can be changed according to the actual account
systemidentification
- 我收集整理的有关于系统辨识的资料和一些方法的优缺点-I have collated the information on the system identification and the advantages and disadvantages of some methods
GA-1
- 求解非线性规划问题的遗传算法设计与实现,希望对初学者有用-Genetic Algorithm Design and Implementation of solving nonlinear programming problems, and I hope useful for beginners
AFSA-neural-network-based-projection-pursuit-regre
- 一种基于AFSA的神经网络投影寻踪耦合回归模型AFSA neural network based projection pursuit regression model coupling-AFSA neural network based projection pursuit regression model coupling
udpmessager
- 利用LabVIEW实现UDP方式的通信，放于互联网上的两台终端，可以实现类似QQ一样的聊天通信。-use LabVIEW UDP modes of communication, on the Internet or in the two terminals, QQ can achieve similar to the same chat communications.
genetic(java)
- 遗传算法具有全局搜索的功能，能够克服K-means算法的缺点。-Genetic algorithm global search function to overcome the shortcomings of K-means algorithm.
BP
- BP神经网络解决异或问题的方法的c语言详细实现过程-BP neural network method to solve the XOR problem c language implementation process in detail
projet
- 一个模拟weka的系统，输入文件格式和weka的一样，实现决策树的分析以及通过数据挖掘整理规则集合，很值得新手学习-a simulation system, the importation of files and weka, the same realization of the decision tree analysis and data mining collated by the rules set, is worth learning newcomers
GA
- 非线性规划的简单遗传算法 由清华刘宝碇教授的实验室发布 将头文件放好 修改即可使用-Non-linear simple genetic algorithm by Tsinghua Professor Liu Baoding