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quantum-physics-algorithms
量子物理学中的常用算法与程序,对于学习量子计算与量子信息比较有帮助(Commonly used in quantum physics algorithms and procedures for the study of quantum computing and quantum information more helpful)
- 2011-10-04 16:35:02下载
- 积分：1
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MIT6_011S10_chap10
Dsp Course lec 10 DSP course
- 2011-11-07 23:35:29下载
- 积分：1
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kalman
描述了在跟踪物体运动的卡尔曼程序。以及绘制出图像。。(matlab kalman)
- 2013-04-09 10:09:26下载
- 积分：1
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motor
异步电机带转矩内环的转速磁链闭环矢量控制(With a torque loop, speed and flux loop induction motor vector control)
- 2015-04-13 19:33:38下载
- 积分：1
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UHVvoltagedomain
电力系统分析软件，可对特高压系统电压控制域进行分析(Power system analysis software, can UHV analysis system voltage control domain)
- 2010-09-13 21:05:21下载
- 积分：1
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knn_self
数据统计学习中的knn算法，实现对多组数据的交叉验证(Statistics Learning knn algorithm to achieve the multi-group cross-validation data)
- 2013-10-20 21:49:25下载
- 积分：1
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LDPC
研究LDPC码的EXIT性能经典论文汇总，包括早期EXIT和PEXIT，以及部分关于LDPC编码领域的论文(Research on the performance of the LDPC code EXIT classic paper summary, including early EXIT and PEXIT, and some papers on the LDPC encoding field)
- 2016-09-13 14:36:11下载
- 积分：1
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ssa
说明： 麻雀搜索智能优化算法例程，新型元启发式算法，可用于函数寻优等其他算法的优化。(intelligent optimization)
- 2021-02-28 20:29:35下载
- 积分：1
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ECEFtoENV
地心坐标系下的经纬高坐标数据，转换为东北天坐标系下的坐标。输入为经纬高，单位为°。
matlab文件实现，调用函数名为：ECEFtoENV(Geocentric latitude and longitude coordinates of the high-coordinate data is converted to Northeast day coordinate system coordinates. Latitude and longitude input is high, the unit is.)
- 2013-11-14 17:53:06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
