登录
首页 » matlab » maan

maan

于 2009-10-22 发布 文件大小:1KB
0 201
下载积分: 1 下载次数: 3

代码说明:

  用平行截面法讨论由曲面z=x^2-y^2构成的马鞍面形状.m(code)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • toushi
    透视变换的程序,一个很好的透视变换程序,希望大家下载(Perspective transformation process, a very good perspective transformation process, I hope you download)
    2011-09-22 11:29:56下载
    积分:1
  • aircraftRamAirTurbineAssembly_MultiDomain
    AIRCRAFT TURBINE ASSEMBLY
    2013-03-03 02:43:52下载
    积分:1
  • 电力线噪声模型仿真
    说明:  电力线噪声的建模,有色背景噪声和脉冲噪声的模型建立(Modeling of Power Line Noise)
    2020-09-24 09:27:49下载
    积分:1
  • 3d
    说明:  基于径向基函数与B样条的散乱数据拟合方法,适合实现三维重现。(Based on Radial Basis Functions and B-spline of scattered data fitting method for achieving three-dimensional reproducibility.)
    2010-06-14 11:19:27下载
    积分:1
  • MatLabDSP
    基于MatLab与DSP的滤波器的快速设计方法(MatLab and DSP-based filter design method of rapid)
    2008-06-28 16:21:33下载
    积分:1
  • 802.11a_OFDM
    OFDM相关 802.11a物理层仿真程序(related 802.11a OFDM physical layer simulation program)
    2007-05-09 12:24:49下载
    积分:1
  • Neural-network
    Very good paper on Neural network algorithm
    2011-09-22 09:37:28下载
    积分:1
  • Abaqus-to-Matlab-software
    教会我们怎样把ABAQUS HE MATLAB LIAN JIE QI LAI
    2013-08-18 01:15:04下载
    积分:1
  • MATLAB7.0
    matlab7.0的一些资料,是数学建模中的一些应用(Matlab7.0 of some material, is some application of mathematical modeling)
    2011-12-12 15:24:37下载
    积分:1
  • 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
  • 696516资源总数
  • 106459会员总数
  • 0今日下载