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rgb2luv
说明: 实现了图像友RGB空间转换为Luv空间,函数以RGB图像为参数,输出Luv图像(Achieved image Friends of the RGB space is converted to Luv space, function to RGB image as a parameter, the output Luv image)
- 2010-04-15 14:51:24下载
- 积分:1
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globaltool
matlab program for power system optimzation using GA tool
- 2011-05-29 03:31:58下载
- 积分:1
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nnet-0.1.7
Octave Neural Network rewritten to be compatible with Matlab.
- 2009-09-08 20:45:51下载
- 积分:1
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chap9
说明: 给出了一个控制系统的模型,此模型采用MATLAB模块搭建,解决跟踪问题(Gives a control system model, this model structures using MATLAB module to address the tracking problem)
- 2008-11-30 09:42:43下载
- 积分:1
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chap4_1
二阶线性系统常规模糊滑膜控制仿真的M语言代码,对象为:G(s)=133/s(s+25)(Fuzzy linear systems control simulation of the M synovial language code)
- 2011-04-21 15:44:11下载
- 积分:1
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gongetidusuanfa
无约束问题最优化方法的核心问题是选择搜索方向。
以正定二次函数为例,来观察两个方向关于矩阵A共轭的几何意义(Unconstrained optimization problems are most core issue is to choose the search direction. In definite quadratic function, for example, to observe both directions on the matrix A conjugate geometric meaning)
- 2014-11-20 14:21:39下载
- 积分:1
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hw1
this is the modulation techniques in matlab
- 2011-11-18 15:48:13下载
- 积分:1
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优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状,概括了负荷预测的特点及其影响因素,归纳了短期负荷预测的常用方法,并分析了各种方法的优劣;接着介绍了作为支持向量机(SVM)理论基础的统计学习理论和SVM的原理,推导了SVM回归模型;本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,而目前依然是基于经验的办法解决。对此,本文采用粒子群优化算法对模型参数进行寻优,以测试集误差作为判决依据,实现模型参数的优化选择,使得预测精度有所提高。实际算例表明,本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分:1
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Platform_Public
说明: 多个系统数据同步公共部分函数源代码,太麻烦了,每次说明都要这么多字(data synchronization system over some public function source code, too cumbersome, each note must so many characters)
- 2006-03-15 13:42:36下载
- 积分:1
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bpsk,qpsk误码分析
bpsk,qpsk误码分析,基于高斯白噪声信道(Error analysis of BPSK and QPSK)
- 2019-06-11 00:04:26下载
- 积分:1