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基于MATLAB完成的神经网络源程序
在matlab6.5下实现的 (achieved in the matlab6.5)
- 2005-01-10 15:53:55下载
- 积分：1
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Pallecant
方程求根的matlab程序，用的是平行法则，仅供参考(Roots of the equation matlab program, using a parallel rule, for reference only)
- 2011-09-27 10:41:43下载
- 积分：1
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hadamard
压缩感知源代码，观测矩阵采用哈达吗变换。很好的入门代码(Compressed sensing the source code, you transform observation matrix using Hada. Good entry code)
- 2014-01-08 10:05:02下载
- 积分：1
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monituih
用模拟退火算法解决0-1问题，能运行，效果好(0-1 with a simulated annealing algorithm to solve the problem to run)
- 2010-12-06 16:37:04下载
- 积分：1
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kalman11
Kalman滤波程序,在一维的数据上，观看滤波后估计值与预测值之间的差距。(Kalman filtering)
- 2013-08-03 10:48:09下载
- 积分：1
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hht
希尔伯特黄变换理论及其应用探讨,基本原理，EMS算法(Hilbert-Huang Transform and Its Applications, basic principles, EMS algorithm)
- 2010-06-03 15:54:11下载
- 积分：1
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DP_UC
solving unit commitment by dynamic programming
- 2013-07-12 18:22:35下载
- 积分：1
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ProjectList
this is not a sparta. this is matlab codes
- 2012-08-02 14:29:09下载
- 积分：1
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FEM_Eq2
to solve the ordinary differential equation given as
x^2 u - 2x u - 4u = x^2, 10 < x < 20
u(10) = 0 and u(20) = 100
using 10 linear elements
- 2010-10-28 18:50:14下载
- 积分：1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个：
1 确定因素，并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分：1
