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pointer
文档中介绍了三种二维数组指针的用法，让读者对二维数组指针有了更进一步的了解。(Document introduces three kinds of the usage of the two-dimensional array pointer, let readers have a better understanding of how two dimensional array pointer.)
- 2014-12-17 12:56:44下载
- 积分：1
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2-bwlableing_filter
this code corospondes bwlableing in matlab
- 2014-12-23 17:40:29下载
- 积分：1
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shidu
用一个带有纯延迟的二阶系统模拟谷物干燥控制系统，比较模糊控制和传统PID控制的性能 (With a second-order system with pure delay grain drying simulation of control systems, fuzzy control and compare the performance of traditional PID control)
- 2010-09-08 21:18:18下载
- 积分：1
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thumoibiet
information theory using matlab
- 2009-11-18 18:13:54下载
- 积分：1
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newtonsys
说明： 这是一种不错的牛顿算法，是老外编的，大家看看吧～(This is a good Newton algorithm, is a foreigner series, we look at it ~)
- 2006-04-07 10:52:32下载
- 积分：1
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谢菲尔德大学的matlab遗传算法工具箱
说明： 这个压缩文件包含有智能算法的matlab程序，该程序可以测试(This compressed file contains a matlab program with intelligent algorithms, which can be tested.)
- 2019-03-13 22:13:26下载
- 积分：1
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OFDMAsingalTimedomain
说明： ofdm的时域仿真代码，matlab下正常。(ofdm s time domain simulation code with matlab,it s works well.)
- 2011-03-25 01:09:02下载
- 积分：1
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NLMS
对归一化最小均方算法NLMS的matlab仿真，包括收敛曲线(The normalized least mean square algorithm NLMS matlab simulation, including convergence curve
)
- 2013-11-29 10:47:29下载
- 积分：1
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Final_Face_recog
Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.
- 2013-10-03 21:58:46下载
- 积分：1
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tixingguanzi2
分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)
- 2014-01-09 14:11:20下载
- 积分：1
