▍1. svm
神经网络matlab svm算法 编译已经通过(Neural network matlab svm algorithm has been compiled by)
神经网络matlab svm算法 编译已经通过(Neural network matlab svm algorithm has been compiled by)
迹线法求轮轨接触点的位置,该理论用于轮轨车辆的数值仿真求解。(Trace method for the wheel-rail contact point position, the theory for the numerical simulation of wheel-rail vehicle solution.)
别碰我的电脑 黑客攻防与网络安全 全集pdf(PDF files of Hackers Attack-Protect and Network Security.)
学校布置的神经网络控制的大作业,控制三级倒立摆的,实验效果非常好!(School layout neural network control of a large operation, control triple inverted pendulum, the experimental results is very good!)
遗传算法的PPT,讲解得非常好,内容很细很全,值得推荐!(GA PPT, explained very well, the content is all very fine, it is recommended!)
拓扑优化经典的99行代码的更新版,希望对感兴趣的同学有帮助~(The classic 99 line topology optimization code update, hope for help- students interested in)
一种检流计的改进设计方案,提供高阻输入,明确指示(A galvanometer of the improved design solutions, providing high-impedance input, clear instructions)
用于计算安全约束机组组合的lingo程序(Unit used to calculate the security constraints of the lingo program)
NetSockets 是一个.net类库,它提供了简单易用,多线程,基于事件,客户端和服务器端网络通信。 (NetSockets is a .NET class library that provides easy-to-use, multi-threaded, event-based, client and server network communication.)
C#的局域网监控,大家可以看看。哈哈哈哈哈哈哈哈(C#, LAN monitoring, we can see. Ha ha ha ha ha ha ha ha)
BP神经网络用于实现摄像机标定,省去求解单应性方程(BP neural network used to implement camera calibration, eliminating the need to solve a single equation to be)
说明: 基于遗传算法的BP神经网络在多目标优化中的应用研究(BP based on genetic algorithm neural network in multi-objective optimization of)
说明: 论文:优化的板材排料问题算法分析,生成条料,将二维转化为一维。(the title of paper,the analysis for stock cutting prolblem optimization algorithm )
说明: 8通道静态应变信号调理模块研究8-channel signal conditioning module of static strain(8-channel signal conditioning module of static strain)
tcl xgraph basic example 4 nodes xgraph script bitrate
基于浮点编码的小生境遗传算法,有别于二进制的小生境算法。(micro-GA base on the float codes)
aodv 测试代码,测试代码,测试aodv性能(aodv code,which verify the performance of aodv)
能够检测局域网范围内的其他工作站,并且可以进行嗅探服务(Able to detect other stations within the LAN, and can sniff services)
支持向量机以其模型结构简单、较好的推广能力和全局最优解等特点已经被用来进行智能 控制的研究,主要包括采用支持向量机回归的非线性时间序列的建模与预测、系统辨识等建模方 面的研究以及优化控制、学习控制和预测控制等方面的研究以及采用支持向量机的故障诊断的研 究。由于现有SVMR基于二次规划的优化方法不适合控制过程的在线训练,因此出现了对SVMR 在线训练算法的研究。分析了国内外这些研究内容的最新研究进展,旨在探讨归纳支持向量机在控 制领域研究的主要成果和存在的问题,以便为进一步的研究提供一定的支持与帮助(Abstract:The support vector machines,which characterizes a simple model structure,good generalization,global optimal solution etc.,has been applied in the intelligent control.The current research includes SVMR modeling and prediction of nonlinear times serial,system identification,optimal control,learning control,predict control etc.,and SVM-based fault diagnosis.Since SVMR based on the quadratic programming unfits for the online training of control,the current research includes the online training of SVMR.The latest development of those contents in the domestic and overseas research were analyzed,and the main achievements and problems in SVMR control were summed up in order to provide some support and help for the further research. )