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chap2_07_FFRLS
最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法(LS)
- 2010-08-29 11:31:37下载
- 积分：1
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Iterate
will implement either Jacobi, Gauss-Seidel or SOR iterative techniques to solve the problem
- 2009-10-10 16:52:06下载
- 积分：1
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mbsb
说明： Matlab在图像处理与目标识别方面的应用 附有例题 1染色体识别与统计 2汽车牌照定位与字符识别 3 基于BP神经网络识别字符的简单实验(Matlab image processing and target recognition in the application of a chromosome with Example 2 License Plate Recognition and Statistical location and character recognition based on BP neural network to recognize three characters in a simple experiment)
- 2010-03-18 12:19:51下载
- 积分：1
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chap3_1
专家PID源程序 刘金锟 先进PID(Expert PID source)
- 2010-05-12 20:31:05下载
- 积分：1
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various-loads
DESIGN OF DPFC UNDER DIFFERENT LOADING CONDITION IN SIMULINK....
- 2021-02-23 09:49:40下载
- 积分：1
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step
step pid with avr mikrokontroller
- 2009-10-30 12:08:05下载
- 积分：1
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comparacion_aproximaciones
Comparación de varias aproximaciones
- 2009-05-22 01:32:50下载
- 积分：1
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5FY7PNuQ
学习别人做的
很简请前辈看看，指教，谢谢大家！(学习被人做的
很简请前辈看看，指教，谢谢大家！)
- 2010-05-08 10:02:48下载
- 积分：1
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QPSK-OQPSK
对两种调相方法进行分析比较,通过MATLAB编程对比两种方式的区别与联系(Phase modulation of two methods of analysis and comparison, through MATLAB programming in two ways the difference between contrast and contact)
- 2008-04-23 22:16:59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
