资源列表
toolbox
- 神经网络的工具箱的应用简介，可以比较清楚的认识并运用神经网络的工具箱-The application of neural network toolbox profile, can a better understanding and use of neural network toolbox
hosa
- 一套高阶统计量计算的信号处理MATLAB程序库-set of higher-order statistics to calculate the signal processing procedures for MATLAB
CISE
- 这是一个使用fcm对彩色图像分割，VC开发，效果非常好，编译需要OpenCV-This is a color image segmentation using the fcm right, VC development, the effect is very good, you will need all OpenCV
GA
- 采用c、c++以及matlab进行遗传算法的讲解，其中包含了一个pdf论文，是用于介绍遗传算法的相关技术！-Using c, c++ And matlab genetic algorithm to explain, which contains a pdf paper, genetic algorithm is used to introduce the relevant technology!
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
Integraobot
- 集成神经网络的深海机器人故障诊断研究Integrated neural network fault diagnosis of deep-sea robot-Integrated neural network fault diagnosis of deep-sea robot
farutoUltimateVersion2[1].0
- SVM神经网络中的参数优化---如何更好的提升分类器的性能 -This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the s
4618173
- 1,设定控制温度为0—99度之间的任意数,并自动存储, 2,利用AD590K的±0 1度的重复性,采用分段插值程序对AD590()
svm
- 介绍支持向量机SVM介绍的参考文献以及程序源代码，
scara-robot
- 应用基于运动螺旋的机器人正解映射求解，同样也是求解机器人模型的论文-Applications based on the spiral movement of the robot is mapping solution to solve, but also paper to solve the robot model
diana
- DIANA算法程序说明 编程语言：C++ 运行环境：Visual C++ 6.0 采用控制台应用程序，样本数据在程序中给出，直接点击编译、链接、运行，就能得出所要求的结果。 -DIANA algorithm program the programming language: C++ Runtime Environment: Visual C++ 6.0 console application using the sample data given in the program,
GA
- 遗传算法求解函数最大值 设计的种群规模，采用的选择算子，交叉概率，变异概率，进化代数和最优解-Design of population size, using the selection operator, crossover probability, mutation probability, evolutionary algebra and the optimal solution