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wireless-MATLAB
说明： 有现成的matlab仿真实例，教你如何使用matlab建无线通信模型(Matlab simulation are ready to teach you how to build the wireless communication model matlab)
- 2011-02-25 10:51:12下载
- 积分：1
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lyapunov_wolf
说明： wolf 方法计算李雅普诺夫指数，matlab源程序(wolf method Lyapunov exponent, Matlab source)
- 2021-03-12 20:09:24下载
- 积分：1
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USE-OF-GA-BP
GA-BP 可 以 用 来 做 很 多 事 情(USE OF GA-BP)
- 2012-05-05 10:04:38下载
- 积分：1
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advances_in_robot_kinematics_mechanisms_and_motio
This book is about robots kinematics and motion. It s an excellent book, it can be use as a reference for engineers or an introduction for students.
- 2009-10-14 02:20:40下载
- 积分：1
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gonglvpu
运用matlab对信号功率谱进行分析，适用于初学者对这方面的了解(Use matlab to analyze the signal power spectrum)
- 2010-10-31 16:20:33下载
- 积分：1
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pinpian
对FMCW CSAR成像中存在的多普勒偏移校正的程序，自己编的，能够有效校正。(Presence of FMCW SAR imaging Doppler offset correction program, own, and can be effectively corrected)
- 2020-11-18 17:19:39下载
- 积分：1
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OSTUmatlab
OSTU算法，智能优化算法，matlab,共同学习(OSTU)
- 2009-03-20 09:59:37下载
- 积分：1
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CS-codes
老外写的压缩传感算法（CS），还是不错的，供大家学习(Foreigner writing compressed sensing algorithm (CS), is good for everyone to learn)
- 2020-08-12 16:18:27下载
- 积分：1
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baoluo
误差包络的仿真，能够运行出结果。希望对大家有帮助(Error envelope simulation, able to run the result. We want to help)
- 2009-11-27 10:44:25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
