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《遗传算法及其在电力系统中的应用》2002
《遗传算法及其在电力系统中的应用》华中科技大学版("Genetic Algorithms and Their Applications in Power Systems" 2002)
- 2019-01-17 09:33:11下载
- 积分：1
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wudianchafen
五点差分法(matlab)解椭圆型偏微分方程方程,分法,偏分,五点差分,椭圆型,偏微分方程(Five-point difference method (matlab) solutions of elliptic partial differential equations, sub-law, partial points, five-point difference, elliptic partial differential equations)
- 2013-09-23 16:58:30下载
- 积分：1
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basic PSO for function
说明： 应用基本粒子群算法求解复杂连续函数优化问题(Application of Basic Particle Swarm Optimization to Complex Continuous Function Optimization)
- 2019-06-01 11:15:13下载
- 积分：1
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Euler_solver
基于有限体积法的naca0012翼型的无粘绕流计算(Calculation of airfoils based on the finite volume method naca0012 inviscid flow around)
- 2012-06-26 18:34:18下载
- 积分：1
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five
计算声发射时域信号特征值：裕值，振幅因子FK、fc，峭度，(Calculation of acoustic emission time-domain signal characteristic values: margin value, the amplitude factor FK, fc, kurtosis,)
- 2012-07-14 15:31:54下载
- 积分：1
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doa
DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。(DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector of each direction in the observed range of three-dimensional matrix phiyz. Output: the minimum variance spectral estimation matrix P.)
- 2012-06-18 10:25:01下载
- 积分：1
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fangzhen
基于模糊控制的MATLAB避障算法，课设内容，最后效果还不错。(Based on the fuzzy control of MATLAB obstacle avoidance algorithm, teaching content, the final effect is not bad.)
- 2020-12-15 22:19:14下载
- 积分：1
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geng
包括广义互相关函数GCC时延估计，通过matlab代码，计算加权加速度。( Including the generalized cross-correlation function GCC time delay estimation, By matlab code, Weighted acceleration.)
- 2017-04-10 14:30:55下载
- 积分：1
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IBVS-master
MATLAB 下的视觉伺服算法,主要是基于图像的视觉伺服(visual servo alrigritho,mainly is the image based visual servo)
- 2020-11-21 19:09:35下载
- 积分：1
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hartigansSLC_OpenCV
hartigans Sequential Leader Clustering Algorithm in terms of OpenCV (ver.1.1)
Sequential Leader algorithm:
Hartigan, J. A. (1975), Clustering Algorithms. John Wiley and Sons, Inc., New York, NY.
1. Select maximum cluster "radius"
2. Start with zero clusters
3. Add each item to be clustered to:
* Closest cluster if distance <= r
* New cluster if distance to closest cluster > r
4. Compute new center from members in cluster
5. Empty the clusters (keeping the centers)
6. Return to step 3 (until no changes are made)
- 2010-02-25 19:28:25下载
- 积分：1
