-
ANN_steepest_descent
Steepestdecent算法程序,matlab实例程序,适合初学者学习(Steepestdecent algorithm procedures, examples of Matlab procedures for beginners learning)
- 2007-03-15 13:49:11下载
- 积分:1
-
psomatlab
一个粒子群算法源码,用matlab实现,很适合粒子群算法的初学者。(A particle swarm algorithm source code, using matlab to achieve, it is suitable for beginners Particle Swarm.)
- 2008-12-13 23:56:01下载
- 积分:1
-
sparse_coding
.Sparse coding algorithm.We can also apply it onefficient sparse coding algorithm to a new machine learning framework called "self-taught learning", where we are given a small amount of labeled data for a supervised learning task, and lots of additional unlabeled data that does not share the labels of the supervised problem and does not arise from the same distribution.
- 2009-11-03 14:03:22下载
- 积分:1
-
Apriori
application of apriori
- 2010-11-12 02:35:08下载
- 积分:1
-
inverse1
说明: 这是一个matlab小程序,可用于求解微分方程,特别是抛物型的微分方程(Matlab This is a small program that can be used to solve differential equations, in particular the type of parabolic differential equations)
- 2006-03-20 11:44:51下载
- 积分:1
-
PTS
PTS 用于描述系统性能 适用于通信系统(used to analysis function of system)
- 2011-10-07 21:52:12下载
- 积分:1
-
jdvad
用短时平均能量值对干净的语音信号进行检测,可以区分语音和非语音部分(With short time average energy value to test the clean speech signal, can distinguish between voice and non-voice part
)
- 2013-11-04 22:12:20下载
- 积分:1
-
AshuCNN
convolutional networks for image processing
- 2018-01-06 19:16:38下载
- 积分:1
-
arbiter
Memory arbiter functions. Allocates bandwidth through the arbiter and sets up arbiter breakpoints.
- 2015-03-18 11:27:31下载
- 积分:1
-
bianpojiegousheji3
本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)
- 2014-01-10 17:36:46下载
- 积分:1