Dynamic-planning-process

使用matlab实现自动提取网格图像交点的程序，(Realize the use of automatic extraction matlab image point grid procedure,)

matlab基础教程，比较适合新手学习使用(matlab basic tutorial, suitable for beginners learning to use)

FASTICA算法，快速不动点，新的迭代公式,运行良好(FASTICA algorithm, fast fixed point, a new iterative formula, running well)

用matlab中双纵坐标来对两组不同数据在同一个图上表示(using Matlab to plot two different group data double y-coordinate in the same figure )

BP神经网络的通用代码，简单易懂，写法精练(BP neural network, the common code, easy to understand, concise writing)

应用Visual C++ 产生高斯噪声序列，可以加到任何信号上，以便进行其他处理。(Application of Visual C++ generated Gaussian noise sequence, can be added to any signal for other treatments.)

说明：  一段matlab下的偏最小二乘回归代码,希望对大家有用.(Under a partial least-squares regression matlab code, and want to be useful to everyone.)

求解约束优化问题的极小值问题，在给定区间内求函数的最优值(Minimum problem solving constrained optimization problems, in the optimal value within a given interval demand function)

包括各种智能算法的详细介绍和具体的实例分析，附带matlab的源码，是不多的学习资料.(The analysis includes a variety of intelligent algorithms are detailed and specific examples, with Matlab source code, is a few learning materials.)

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)