资源列表
[人工智能/神经网络/遗传算法] zzycsf
说明:只要输入相关参数就可以得到结果,最值遗传算法,含源码-Just enter the relevant parameters can be the result, the most value genetic algorithm, with source<jdshds> 在 2025-06-13 上传 | 大小:250kb | 下载:0
[matlab例程] Vcmatlabsrc
说明:matlab和vc++联合编程的例子,使用matcom编写matlab程序链接成库文件在vc++中使用。-matlab and vc++ joint programming examples, the use of matlab Matcom preparation procedures into a library file in the link vc++ use.<liuyiyu> 在 2025-06-13 上传 | 大小:103kb | 下载:0
[matlab例程] OFDMSimulationUsingMatlab
说明:基于matlab的ofdm仿真,内含有word文档及代码。-Based on the OFDM matlab simulation, contains documents and code word.<超越> 在 2025-06-13 上传 | 大小:110kb | 下载:0
[matlab例程] LineDetectonviaStandardHoughTranform
说明:利用hough变换检测直线的matlab实现,希望对初学者有用.-Detection using hough transform matlab linear realize, I hope useful for beginners.<超越> 在 2025-06-13 上传 | 大小:1kb | 下载:0
[数学计算/工程计算] MC
说明:有关MC算法的三篇pdf文章 1.移动立方体算法的三重线性插值研究 2.空间相关MC算法的VTK实现 3.移动立方体算法中的三角剖分-The MC algorithm of three pdf article 1. Marching Cube triple linear interpolation of 2. VTK space-related MC algorithm to achieve 3. Marching cube triangulation algorithm<hazehui> 在 2025-06-13 上传 | 大小:446kb | 下载:0
[人工智能/神经网络/遗传算法] JnS
说明:独立成分分析的批数据处理算法JADE,计算量虽然大些,但至今仍被人采用-Independent component analysis of batch data-processing algorithm JADE, although the calculation of the volume, but is still used<薛耀斌> 在 2025-06-13 上传 | 大小:33kb | 下载:0
[人工智能/神经网络/遗传算法] tca1_0.tar
说明:The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components in<薛耀斌> 在 2025-06-13 上传 | 大小:222kb | 下载:0
[matlab例程] kernel-ica1_0.tar
说明:The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast functio<薛耀斌> 在 2025-06-13 上传 | 大小:10kb | 下载:0
[人工智能/神经网络/遗传算法] icaML
说明:he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The<薛耀斌> 在 2025-06-13 上传 | 大小:7kb | 下载:0