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chapter3
说明： 差分进化算法(Differential Evolution Algorithm，DE)是一种高效的全局优化算法。它也是基于群体的启发式搜索算法，群中的每个个体对应一个解向量。差分进化算法的进化流程则与遗传算法非常类似，都包括变异、杂交和选择操作，但这些操作的具体定义与遗传算法有所不同(Differential evolution algorithm (DE) is an efficient global optimization algorithm. It is also a heuristic search algorithm based on population. Each individual in the group corresponds to a solution vector. The evolution process of differential evolution algorithm is very similar to genetic algorithm, including mutation, hybridization and selection operations, but the specific definition of these operations is different from that of genetic algorithm)
- 2020-11-09 21:41:07下载
- 积分：1
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differentcalsiificationpalying
模式识别中各种分类算法演示Demonstrate a variety of classification algorithms in pattern recognition(Demonstrate a variety of classification algorithms in pattern recognition)
- 2010-05-31 15:09:25下载
- 积分：1
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maple_html
evolutionary optimization in matlab code
- 2014-11-01 00:13:02下载
- 积分：1
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SI-and-matlab-simulation
《系统辨识与MATLAB仿真-侯媛彬》源程序(" System Identification and MATLAB simulation- Houyuan Bin" source)
- 2011-10-22 18:16:28下载
- 积分：1
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jbbvq
实现了对10个数字音的识别，部分实现了追踪测速迭代松弛算法，FIR 底通和带通滤波器和IIR 底通和带通滤波器。( To achieve the recognition of 10 digital sound, Partially achieved tracking speed iterative relaxation algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.)
- 2017-05-29 17:34:35下载
- 积分：1
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Three_DBR
三个不同阻带DBR叠加的投射光谱及微腔模式计算(Superposition of three different projection DBR stop-band spectrum and micro-cavity pattern)
- 2010-06-22 15:54:10下载
- 积分：1
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121
功能：输入一页文字，程序可以统计出文字、数字、空格的个数功能：输入一页文字，程序可以统计出文字、数字、空格的个数(code)
- 2009-12-24 11:19:30下载
- 积分：1
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123
该论文给出了基于MATLAB的OFDM系统仿真及性能分析(matlab simulation and performance analysis of ofdm system)
- 2009-11-26 12:17:10下载
- 积分：1
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char-recognition
神经网络源代码，一个字符识别程序，分别实现了没有噪声和带有噪声的测试(Neural network source code, a character recognition program, were achieved with no noise and noise tests)
- 2011-04-29 09:43:17下载
- 积分：1
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ECG-denoising-
基于小波变换的ECG信号去噪，可以改小波基、阈值等参数完善实验效果，注释详细。尤其对这方面的初学者有参考价值。(ECG signal denoising based on wavelet transform.Wavelet basis , threshold and other parameters can be modified to improve the experimental results. detailed notes is especially valuable for beginners .
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- 2021-04-25 09:48:46下载
- 积分：1
