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于 2020-07-16 发布 文件大小:12053KB
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  《MATLAB 神经网络43个案例分析》目录用于学习卷积神经网络,机器学习(machine learning)

文件列表:

chapter1.rar,378227,2013-08-21
chapter10.zip,3404,2013-09-02
chapter11.zip,2905,2013-09-02
chapter12.rar,18093,2013-08-18
chapter13.rar,8462,2013-08-18
chapter14.rar,36960,2013-08-18
chapter15.rar,202556,2013-08-18
chapter16.rar,223466,2013-08-18
chapter17.rar,352337,2013-08-18
chapter18.rar,361259,2013-08-18
chapter19.rar,125620,2013-08-18
chapter2.rar,49538,2013-08-21
chapter20.rar,2720499,2013-08-18
chapter21.rar,45109,2013-08-22
chapter22.rar,37981,2013-08-22
chapter23.rar,15936,2013-08-22
chapter24.rar,15524,2013-08-22
chapter25.rar,4744,2013-08-22
chapter26.zip,89933,2013-09-02
chapter27.zip,5326406,2013-09-02
chapter28.zip,88914,2013-09-02
chapter29.zip,139859,2013-09-02
chapter3.rar,54331,2013-08-21
chapter30.zip,806075,2013-09-02
chapter31.zip,51071,2013-09-02
chapter32.rar,4047,2013-08-21
chapter33.rar,14682,2013-08-21
chapter34.rar,26488,2013-08-21
chapter35.rar,2700,2013-08-21
chapter36.zip,199008,2013-09-02
chapter37.rar,3603,2013-08-21
chapter38.rar,89538,2013-08-21
chapter39.rar,199,2013-08-22
chapter4.rar,191648,2013-08-21
chapter40.rar,116211,2013-08-22
chapter41.rar,224829,2013-08-22
chapter42.rar,66338,2013-08-22
chapter43.rar,842,2013-08-22
chapter5.rar,61730,2013-08-21
chapter6.rar,13423,2013-08-21
chapter7.rar,66294,2013-08-22
chapter8.rar,12917,2013-08-22
chapter9.zip,6723,2013-09-02
《MATLAB 神经网络43个案例分析》目录.docx,176168,2013-08-20

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    这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活,允许引入的术语(如果是极少数需要包括色散效应高阶导数)。例如,如果一个人渴望解决的一个方程的形式: (四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3)== 0 Ÿ 它可以解决使用以下代码: Ž = linspace(0,1,512) x = linspace(-5,5,1024) psi0 =进出口(- x的。^ 2) Ð = D_lateral1D(十,2)-0.25 * D_lateral1D(十,3) 字段= LinearBPM(psi0,有D,Z) 凡D_lateral1D是一个函数,提供“取代”的微分算子。 这个函数是在一个非线性的BPM,我曾对(分步,谱方法等),将提交给我,当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )
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