-
实现资料预测,输入训练集数据和测试集数据可以得到对应的均方根误差Desktop
说明: 实现资料预测,输入训练集数据和测试集数据可以得到对应的均方根误差(Realization data prediction)
- 2020-07-09 15:28:55下载
- 积分:1
-
LabProgramNo.8
SourceCode project in data management system
- 2015-02-01 11:07:36下载
- 积分:1
-
PRI_transformation
pri变换分选算法仿真实现,改进经典PRI变换算法(PRI transformation algorithm)
- 2021-01-18 22:38:44下载
- 积分:1
-
MATLAB
说明: matlab必备的源代码教程,希望能用的到(matlab)
- 2010-04-06 08:34:34下载
- 积分:1
-
fftd
傅立叶离散型变换,图形变换
傅立叶离散型变换,图形变换
傅立叶离散型变换,图形变换(Discrete Fourier transform, discrete Fourier transform graphics transform, discrete Fourier transform transform graphics, graphics transform)
- 2011-05-14 11:40:02下载
- 积分:1
-
Satelite_LookAngle
Satellite Look Angle
- 2013-02-27 17:29:51下载
- 积分:1
-
JHSantiagoTexcoco_FletcherReeves-MatLab
Prueba1 FletcherReeves
Hernández Santiago José
Maestría en Ciencias de la Computación
Septiembre / 2011
1. Comenzar con un punto arbitrario
2. Calcular Gradiente de Fi
3. Si el Gradiente Fi es igual a 0(converge), termina
4. Si el Gradiente Fi es !=0 continuar
5. Encontrar dirección de búsqueda
Si= -GradienteFi= - Gradiente F(Xi)
6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Hacer i=2
8. Obtener Gradiente Fi
9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1)
10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si
X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi)
7. Verificar Optimalidad de X(i+1)
Si es optimo, detener
Si no es optimo hacer i=i+1 e ir al paso 8
- 2013-08-08 14:30:24下载
- 积分:1
-
Shortest_Path_F
求复杂网络中两节点i1与i2间的最短路径及其长度
采用Floyd算法计算两节点的距离(Demand complex networks, two nodes i1 and i2 between the shortest path and its length using the Floyd algorithm to calculate the distance of two nodes)
- 2012-07-12 20:42:30下载
- 积分:1
-
continuous-signal-FFT
连续信号(可以自定义的函数)的FFT效果图,初学者学习的例程,不错(Continuous signal (can custom functions) of the FFT renderings, for beginners to learn the routine, good)
- 2013-12-13 13:32:49下载
- 积分:1
-
Fig.6
Stud. Appl. Math. 118, 153-197 (2007)关于solitons的一篇文章,figure6的编程,主要是运用牛顿迭代法进行数值模拟的。(Stud. Appl. Math. 118, 153-197 (2007) on the solitons in an article, figure6 programming, primarily using Newton' s iterative method of numerical simulation.)
- 2010-03-11 10:21:31下载
- 积分:1