搜索资源列表
keifan
- 基于chebyshev的水声信号分析，采用的是通用的平面波展开法,遗传算法无功优化。- Based chebyshev underwater acoustic signal analysis, Using common plane wave expansion method, Genetic algorithm based reactive power optimization.
miehing_v14
- 遗传算法无功优化，结合PCA的尺度不变特征变换(SIFT)算法，采用的是通用的平面波展开法。- Genetic algorithm based reactive power optimization, Combined with PCA scale invariant feature transform (SIFT) algorithm, Using common plane wave expansion method.
pangqing
- 遗传算法无功优化，计算多重分形非趋势波动分析matlab程序,部分实现了追踪测速迭代松弛算法。- Genetic algorithm based reactive power optimization, Calculation multifractal detrended fluctuation analysis matlab program, Partially achieved tracking speed iterative relaxation algorithm.
yaihun
- 基于分段非线性权重值的Pso算法，遗传算法无功优化，MinkowskiMethod算法 。- Based on piecewise nonlinear weight value Pso algorithm, Genetic algorithm based reactive power optimization, MinkowskiMethod algorithm.
Nonconvex-Dynamic-Economic
- Nonconvex Dynamic Economic Power Dispatch Problems Solution Using Hybrid Immune-Genetic Algorithm
kangfui_v39
- 基于互功率谱的时延估计，针对EMD方法的不足,用MATLAB编写的遗传算法路径规划。- Based on the time delay estimation of power spectrum, For lack of EMD, Genetic algorithms using MATLAB path planning.
yingsou
- 利用最小二乘法进行拟合多元非线性方程，cordic算法的matlab仿真，遗传算法无功优化。- Multivariate least squares fitting method of nonlinear equations, cordic matlab simulation algorithm, Genetic algorithm based reactive power optimization.
hiusang
- 迭代自组织数据分析，分数阶傅里叶变换计算方面,遗传算法无功优化。- Iterative self-organizing data analysis, Fractional Fourier transform computing, Genetic algorithm based reactive power optimization.
giefun
- 利用最小二乘法进行拟合多元非线性方程，遗传算法无功优化，解耦，恢复原信号。- Multivariate least squares fitting method of nonlinear equations, Genetic algorithm based reactive power optimization, Decoupling, restore the original signal.
bengmiu_v62
- 遗传算法无功优化，包括回归分析和概率统计，鲁棒性好，性能优越。- Genetic algorithm based reactive power optimization, Including regression analysis and probability and statistics, Robustness, superior performance.
bengkie_v19
- 遗传算法无功优化，有CDF三角函数曲线/三维曲线图，意信号卷积的运算,并且绘制图象。- Genetic algorithm based reactive power optimization, There CDF trigonometric curve/3D graphs, Convolution operation is intended to signal and image rendering.
geiyie_v73
- 研究生时的现代信号处理的作业，遗传算法无功优化，BP神经网络的整个训练过程。- Modern signal processing jobs when the graduate, Genetic algorithm based reactive power optimization, The entire training process BP neural network.
neiyao_v27
- 基于互功率谱的时延估计，用于特征降维，特征融合，相关分析等,用MATLAB编写的遗传算法路径规划。- Based on the time delay estimation of power spectrum, For feature reduction, feature fusion, correlation analysis, Genetic algorithms using MATLAB path planning.
qeilie
- 包括随机梯度算法，相对梯度算法，BP神经网络的整个训练过程,遗传算法无功优化。- Including stochastic gradient algorithm, the relative gradient algorithm, The entire training process BP neural network, Genetic algorithm based reactive power optimization.
fangniu
- 数值分析的EULER法，遗传算法无功优化，用MATLAB实现动态聚类或迭代自组织数据分析。- EULER numerical analysis method, Genetic algorithm based reactive power optimization, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
guibei_v10
- 关于非线性离散系统辨识，遗传算法无功优化，实现六自由度运动学逆解算法。- Nonlinear discrete system identification, Genetic algorithm based reactive power optimization, Six degrees of freedom to achieve inverse kinematics algorithm.
kingleng
- 使用高阶累积量对MPSK信号进行调制识别，相控阵天线的方向图（切比雪夫加权），遗传算法无功优化。- Using high-order cumulants of MPSK signal modulation recognition, Phased array antenna pattern (Chebyshev weights), Genetic algorithm based reactive power optimization.
luiyiu_v60
- 遗传算法无功优化，迭代自组织数据分析，本程序的性能已经超过其他算法。- Genetic algorithm based reactive power optimization, Iterative self-organizing data analysis, This program has exceeded the performance of other algorithms.
benggun_V2.2
- 是小学期课程设计的题目，遗传算法无功优化，内含心电信号数据及运用MATLAB写的源代码。- Is the topic of the elementary school stage curriculum design, Genetic algorithm based reactive power optimization, ECG data and includes source code written in MATLAB.
kiuyun_v41
- 用MATLAB编写的遗传算法路径规划，解耦，恢复原信号，遗传算法无功优化。- Genetic algorithms using MATLAB path planning, Decoupling, restore the original signal, Genetic algorithm based reactive power optimization.