资源列表
FCM_synthetic_control.data
- 1. Synthetic Control Chart Time Series合成控制图时间序列 a) 数据集描述：该数据集包含600个实例，属性个数为6，已知分为6类。 b) 参数选择： 聚类数为6 加权指数m=2 最大迭代次数为1000，隶属度最小变化量1e-5 -1. Synthetic Control Chart Time Series Synthetic Control Chart Time sequence
GAaRastrigin
- 遗传算法和膜计算混合算法，运用膜计算的特性结合GA算法-GA algorithm and computing
Psopt3
- C语言Legendre伪谱法软件，带很多算例-pseudospectral C++
10
- 基于pca和dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
0
- 基于kpca以及核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is
ann-and-ga-in-heat-verse-conduction
- 神经网络和遗传算法在热传导逆问题中应用，本文分别用BP网络、RBF网络和GA求解了一维导热反问题，分别用BP网络和GA求 解了二维导热反问题， -Neural networks and genetic algorithms in the application of the inverse problem of heat conduction
The-improved-genetic-algorithm
- 基于改进的遗传算法解非线性方程组，将非线性方程组问题转化为函数优化-The improved genetic algorithm for solving nonlinear equations in the application
IRWLS_for_SVM
- 一篇很难找的SVM计算文章，用IRWLS迭代计算SVM的线性回归问题-an IRWLS procedure for SVM
pamAlgo
- 数据挖掘聚类算法的其中一种，PAM算法是划分聚类的其中一种方法。-Data mining clustering algorithm one, PAM clustering algorithm is divided into one of the methods.
TowerMfcLast
- 梵塔，又称汉诺塔，对于学人工智能的人这个程序一点都不陌生，主要就是通过最优的方式实现圆盘的移动。-Brahman tower, also said han s tower, artificial intelligence to learn of the program was not a strange, is mainly through the optimal way realization of the disc movement.
Robot
- vc++环境下完成和solidworks三维制图软件按的动态链接并进行了机器人模型的动态控制-vc environment and solidworks complete three-dimensional mapping software by dynamic linking and dynamic model for the robot control
GM-network
- 灰色神经网络是有效的时间序列预测方法，本文以订单变化为例分析神经网络功能-Gray neural network is effective time series prediction method, this paper to change order as an example, this paper analyzes the function neural network