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techniques are required to address the problems of noise cancelation, feature extraction and classification. Some typical time-frequency analysis methods have been used to capture local features... the NA-MEMD method with locally orthogonal and narrowband IMF bases. Classification procedure of motor imagery tasks involves feature extraction and classification of EEG. The common spatial patterns......
the instances into two parts in a high-dimensional feature space, which is a method for binary classification and has intrinsic limitations for the multiple classification. The DT [50] is the base classifier... J. Cent. South Univ. (2021) 28: 1422-1447 DOI: https://doi.org/10.1007/s11771-021-4707-9 Machine learning strategies for lithostratigraphic classification based on geochemical sampling data: A case......
power load forecasting. Key words: power load forecasting; support vector machine (SVM); Lyapunov exponent; data mining; embedding dimension; feature classification  ...(t1+τ), x(t1+2τ), …, x[t1+(m-1)τ]. 3 Data mining preprocessing technology 3.1 Fuzzy classification disposing influencing factors As to short load curve, weather is a very important influencing......
theory. The results show the selected feature set has fewer features and better classification performance than the existing methods. Key words: text classification; feature selection; cloud model... International Conference on Data Mining (ICDM 2007). Piscataway: IEEE, 2007: 697-702. [5] Selvakuberan K, Indradevi M, Rajaram R. Combined feature selection and classification: A novel approach......
and Electrical Engineering, the University of Queensland, Brisbane, 4072, Australia) Abstract: In terms of the distribution of objects and their classification labels, the continuous feature space was partitioned into a variety of subspaces, each one with clear edge and unique classification label. After the projection of all the subspaces to each feature, the quality of each feature......
; 文章编号:1672-7207(2009)03-0737-05 Classification algorithm based on constructive neural networks LIU Cheng-shui (Digital City Institute, Beijing City University, Beijing 100083, China) Abstract: A new maximum density covering classification algorithm based on constructive neural networks was proposed, which can be used to resolve the problem of pattern......
A decision hyper plane heuristic based artificial immune network classification algorithmDENG Ze-lin(邓泽林)1, 2, TAN Guan-zheng(谭冠政)1, HE Pei(何锫)2, YE Ji-xiang(叶吉祥)1, 2(1. School of Information...:Most of the developed immune based classifiers generate antibodies randomly, which has negative effect on the classification performance. In order to guide the antibody generation effectively......
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