资源列表
mohusjwl
- 模糊神经网络在现代工程领域得到很广泛的应用，在优化神将网络结构和性能上有很大帮助-fuzzy neural networks in modern engineering fields to be very widely used, God will optimize the network structure and capabilities will be of great help
yhzgah_sars
- 用遗传算法优化神经网络权值的工具箱，很好用。解决神经网络全局收敛问题，训练速度快-genetic algorithm optimization neural network toolbox value of the right to good use. Neural network address global convergence, speed training
chapter1-2
- 这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv
CompressOperation
- 图像压缩算法，是算法思想与设计题目，无解压密码-image compression algorithms, and algorithm is a design, without extracting passwords
LP01
- 计算光子晶体的lp01模场分布，和截面场分布彩图-calculation of photonic crystal lp01 mode field distribution, and section distribution maps
Mur_3DFDTD
- fortran程序计算光子晶体，3D FDTD with 1st Mur boundary conditions-fortran calculated photonic crystal, 3D FDTD with 1st Mur boundary conditions
tmmgain
- TRANSFER MATRIX FORMALISM FOR GRATINGS WITH DEFECTS AND GAIN -TRANSFER MATRIX FORMALISM FOR GRATINGS WI TH DEFECTS AND GAIN
tmmcoupling
- THIS M-FILE USES THE TRANFER MATRIX METHOD TO EVALUATE THE COUPLED-MODE ％EQUATIONS. THE REFLECTION SPECTRUM OF THE GRATING AND THE TRANSMISSION ％SPECTRUM, DELAY AND DISPERSION OF THE FABRY-PEROT FILTER ARE SIMULATED-THIS M-FILE TRANFER USES THE M
tmmforgrating
- 用传输矩阵法计算光栅场，寻找bloch 模-use of the transfer matrix method grating market, find bloch Die
ransac
- ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。本源代码用仿摄模型模拟两影像的几何变形，用ransac算法来剔除错误匹配点，得到最终的仿摄参数。-ransac is commonly used in computer vision of a stable, two images can be used for the registration. Imitating source code model perturbation two images of the geometric
Aprior5
- 是关于Apriori算法，多的就不说了自己看吧-on Apriori algorithm, the more that is not its own Look here
sampen
- 在matlab环境下，样本熵的计算。里面包含3个源码。是个十分有用的程序。运行速度较快。-in Matlab environment, sample entropy calculations. Which contains three source. Is a very useful procedure. Run faster.