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[matlab例程icp

说明:Iterative closest poin in MATLAB
<Saeed> 在 2025-09-17 上传 | 大小:5kb | 下载:0

[matlab例程ICP_finite

说明:Iterative closest poin in MATLAB
<Saeed> 在 2025-09-17 上传 | 大小:4kb | 下载:0

[matlab例程icp2

说明:Iterative closest point in MATLAB
<Saeed> 在 2025-09-17 上传 | 大小:1kb | 下载:0

[matlab例程icp

说明:Iterative closest point in MATLAB
<Saeed> 在 2025-09-17 上传 | 大小:1kb | 下载:0

[人工智能/神经网络/遗传算法2007B

说明:对于全国研究生数学建模的07年B题运用matlab编写的遗传算法程序予以解决,并配有详细的文字说明,是数学建模的很好例程。-For the national postgraduate mathematical modeling the 2007 B topic using matlab genetic algorithm procedures shall be resolved, and is equipped with detailed text explains, it is mathema
<coral> 在 2025-09-17 上传 | 大小:888kb | 下载:0

[人工智能/神经网络/遗传算法monituihuo

说明:应用模拟退火算法解决TSP问题希望对大家有所帮助-Simulated annealing algorithm to solve TSP problem
<jkrono> 在 2025-09-17 上传 | 大小:201kb | 下载:0

[matlab例程Correlation_and_convolution

说明:About correlation. In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a l
<whitelily> 在 2025-09-17 上传 | 大小:590kb | 下载:0

[人工智能/神经网络/遗传算法Matlab_for_Neuroscientists

说明:matlab神经科学常用编程,可以帮您从零开始迅速掌握神经科学常用matlab编程方法,包括心理、生理、分子等常见神经科学分支。-Neuroscience common programming by matlab
<雷太龙> 在 2025-09-17 上传 | 大小:12.31mb | 下载:0

[人工智能/神经网络/遗传算法RTSP

说明:详细的rtsp协议,全面的介绍了rtsp协议的流程,对从事rtsp协议编程的童鞋们,有很大的帮助。-Details of the rtsp protocol, rtsp protocol describes a comprehensive process, rtsp protocol in the programming of children' s shoes who is very helpful.
<xie> 在 2025-09-17 上传 | 大小:15kb | 下载:0

[matlab例程MITBIHsignal

说明:
<王晓正> 在 2025-09-17 上传 | 大小:2kb | 下载:0

[matlab例程source

说明:This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size
<bahtiar> 在 2025-09-17 上传 | 大小:6kb | 下载:0

[人工智能/神经网络/遗传算法x

说明:This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size
<bahtiar> 在 2025-09-17 上传 | 大小:1kb | 下载:0
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