matlab function multi_scale_fuzzy_entropy = calculate_multi_scale_fuzzy_entropy(time_series, scales) 初始化结果矩阵 multi_scale_fuzzy_entropy = zeros(1, length(scales)); 将时间序列分解为不同尺度的小波系数 [C, ~] = wavedec(time_series, max(scales), 'db4'); for i = 1:length(scales) ...
% `logx` - Logarithm base, a positive scalar [default: natural] % % See the [信息熵系列#3——FuzzyEn模糊熵及Matlab实现](`https://zhuanlan.zhihu.com/p/574793525`) % for more info on these permutation entropy variants. % % See also: % getApEn, getSampEn, getPermEn % % References:...
模糊散布熵Fuzzy dispersion entropy,多尺度模糊散布熵,层次模糊散布熵,时移多尺度模糊散布熵,复合多尺度模糊散布熵,精细复合多尺度模糊散布熵(Matlab代码获取链接:https://mbd.pub/o/bread/mbd-ZJqamJds) 熵或复杂性度量区分时间序列类别和理解潜在动态的能力是众所周知的。模糊散布熵(Fuzzy dispersion entropy)是采用...
多尺度模糊熵(multiscale fuzzy entropy,简称MFE)。多尺度模糊熵是基于模糊熵而定义 上传者:qq_34133884时间:2019-03-07 多尺度熵 matlab程序 多尺度熵 matlab程序,可以运行 样本熵 模糊熵 排列熵 多尺度熵 层次熵 多尺度排列熵 信息熵 上传者:liujiangnan1116时间:2018-03-07 ...
Second, calculate the MFE value of the power frequency component of the zero-sequence current of each feeder and select the multi-scale fuzzy entropy partial mean (PMMFE) as the line selection criterion, and then, the fault line is selected. MATLAB/Simulink simulation experimental results and ...
Pattanaik, A., Mishra, S., Rana, D.: Comparative study of edge detection using Renyi entropy and differential evolution. Int. J. Eng. Res. Technol. 4(3), 1001–1005 (2015) Google Scholar Chaira, T., Ray, A.K.: Fuzzy Image Processing and Application with MatLab. Taylor & Francis...
EGS-SOM- Entropy Gradient Segmentation SOM; SWT- Stationary Wavelet Transforms;LVQ- Learning Vector Quantization;BPNN- Back Propagation Neural Networks; Mcstrip- Minneapolis Consensus Strip; NSGA-2- Non-dominated Sorting Genetic Algorithm; GHSOM- Growing Hierarchical Self-Organizing Map; VCF- Vector Fiel...
partition coefficient, partition entropy, nonfuzzy index, minimum and mean hard tendencies, minimum and maximum relative fuzziness, the minimum nearest maximum membership cardinality, compactness and separation index, fuzzy hypervolume, average partition density, and the partition density of a resulting fuzz...
Chen and Chen (2015) also applied an FTS-based granular computing approach with entropy-based discretization and binning-based partition methods to predict stock market prices. Another noteworthy attempt at the prediction of the stock market can be found in Ye et al. (2016), who used a multi...
The output phase employs CLoU_Loss(Complete Intersection over Union Loss) and BCE_Loss( Binary Cross Entropy Loss) functions to calculate recognition performance and employs weighted non-maximum suppression to filter prediction boxes, ensuring accurate target object grading20,21. The road garbage ...