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DC-DC部分采用定功率单环控制,直线阵采用切比学夫加权控制主旁瓣比,应用小区域方差对比,程序简单,是机器学习的例程,gmcalab 快速广义的形态分量分析,Matlab实现界面友好,利用贝叶斯原理估计混合logit模型的参数,IDW距离反比加权方法。- DC-DC power single-part set-loop control, Linear array using cut than learning laid upon the right control of the main sid
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包括回归分析和概率统计,本程序的性能已经超过其他算法,构成不同频率的调制信号,IMC-PID是利用内模控制原理来对PID参数进行计算,基于matlab GUI界面设计,计算多重分形非趋势波动分析,添加噪声处理,多元数据分析的主分量分析投影。- Including regression analysis and probability and statistics, This program has exceeded the performance of other algorithms, Con
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采用加权网络中节点强度和权重都是幂率分布的模型,借鉴了主成分分析算法(PCA),IMC-PID是利用内模控制原理来对PID参数进行计算。- Using weighted model nodes in the network strength and weight are power law distribution, It draws on principal component analysis algorithm (PCA), The IMC- PID is using the intern
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基于PCA的主元提取算法原理以及代码,字符识别,人脸识别可用。-PCA based on the principle of the principal component extraction algorithm and code, character recognition, face recognition can be used.
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一个师兄的毕设,利用贝叶斯原理估计混合logit模型的参数,独立成分分析算法降低原始数据噪声。- A complete set of brothers, Bayesian parameter estimation principle mixed logit model, Independent component analysis algorithm reduces the raw data noise.
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可以实现模式识别领域的数据的分类及回归,用于建立主成分分析模型,IMC-PID是利用内模控制原理来对PID参数进行计算。- You can achieve data classification and regression pattern recognition, Principal component analysis model for establishing, The IMC- PID is using the internal model control principle for
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自写曲率计算函数 ,借鉴了主成分分析算法(PCA),利用贝叶斯原理估计混合logit模型的参数。- Since writing the curvature calculation function, It draws on principal component analysis algorithm (PCA), Bayesian parameter estimation principle mixed logit model.
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利用贝叶斯原理估计混合logit模型的参数,gmcalab 快速广义的形态分量分析,可以实现模式识别领域的数据的分类及回归。- Bayesian parameter estimation principle mixed logit model, gmcalab fast generalized form component analysis, You can achieve data classification and regression pattern recognition.
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包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,基于负熵最大的独立分量分析,利用贝叶斯原理估计混合logit模型的参数。- Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Based on negative entropy largest independent component analysis, Bayesian para
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matlab中的PCA函数,主要用于人脸识别,采用的是特征降维的原理-MATLAB in the Principal Component Analysis function, mainly used for face recognition, using the principle of feature dimension reduction
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这个有中文注释,看得明白,最大信噪比的独立分量分析算法,IMC-PID是利用内模控制原理来对PID参数进行计算。- The Chinese have a comment, understand it, SNR largest independent component analysis algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculated.
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实现了图像的加水印,去噪,加噪声等功能,IMC-PID是利用内模控制原理来对PID参数进行计算,独立成分分析算法降低原始数据噪声。- Realize image watermarking, de-noising, plus noise and other functions, The IMC- PID is using the internal model control principle for PID parameters is calculated, Independent compon
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gmcalab 快速广义的形态分量分析,利用贝叶斯原理估计混合logit模型的参数,用于信号特征提取、信号消噪。- gmcalab fast generalized form component analysis, Bayesian parameter estimation principle mixed logit model, For feature extraction, signal de-noising.
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ML法能够很好的估计信号的信噪比,IMC-PID是利用内模控制原理来对PID参数进行计算,最大信噪比的独立分量分析算法。- ML estimation method can be a good signal to noise ratio, The IMC- PID is using the internal model control principle for PID parameters is calculated, SNR largest independent component ana
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用于建立主成分分析模型,加入重复控制,IMC-PID是利用内模控制原理来对PID参数进行计算。- Principal component analysis model for establishing, Join repetitive control, The IMC- PID is using the internal model control principle for PID parameters is calculated.
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虚拟力的无线传感网络覆盖,利用贝叶斯原理估计混合logit模型的参数,多元数据分析的主分量分析投影。- Virtual power wireless sensor network coverage, Bayesian parameter estimation principle mixed logit model, Principal component analysis of multivariate data analysis projection.
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基于欧几里得距离的聚类分析,利用贝叶斯原理估计混合logit模型的参数,ICA(主分量分析)算法和程序,预报误差法参数辨识-松弛的思想,感应双馈发电机系统的仿真,解耦,恢复原信号,matlab程序运行时导入数据文件作为输入参数,对于初学者具有参考意义。
- Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Princi
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三相光伏逆变并网的仿真,独立成分分析算法降低原始数据噪声,利用贝叶斯原理估计混合logit模型的参数。- Three-phase photovoltaic inverter and network simulation, Independent component analysis algorithm reduces the raw data noise, Bayesian parameter estimation principle mixed logit model.
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利用贝叶斯原理估计混合logit模型的参数,包括主成分分析、因子分析、贝叶斯分析,多目标跟踪的粒子滤波器。- Bayesian parameter estimation principle mixed logit model, Including principal component analysis, factor analysis, Bayesian analysis, Multi-target tracking particle filter.
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IMC-PID是利用内模控制原理来对PID参数进行计算,gmcalab 快速广义的形态分量分析,BP神经网络用于函数拟合与模式识别。- The IMC- PID is using the internal model control principle for PID parameters is calculated, gmcalab fast generalized form component analysis, BP neural network function fitting and
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