Chap2-Animation

fuzzy rough sets or fuzzy mutual information

Matlab程序设计书籍中的源代码，希望对大家都有用。(the source code of the Matlab program )

jx Robot源码，需要的可以看看,互相学习(jx Robot source, need to look at)

扩展卡尔曼滤波算法，经过测试可以使用，matlab程序(Extended Kalman filter algorithm)

语音仿真程序，生成房间的冲击响应，方法为Image方法，程序简单可用。(Voice simulation program to generate the room impulse response, methods for the Image methods, procedures can be simple.)

说明：  一个克隆选择算法的应用例子，可以帮助理解该种算法的性能及特点(A clonal selection algorithm application examples that can help to understand the performance and characteristics of the algorithm)

MEDLL算法多径参数估计，2012b上可以运行，添加了高斯白噪声； 应用于多径检测和抗多径； 函数的输入是相关峰采样；(MEDLL Multipath parameter estimation algorithm can be run on the 2012b, add Gaussian white noise used in multipath detection and anti-multipath input function is the correlation peak sampling )

this is an ebook about neural network

The classical filtering and prediction probl em is re-examined using the Bode- Shannon representation of random processes and the “state transition

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)