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Journal Abstract Search
328 related items for PubMed ID: 20663504
1. Application of the PSO-SVM model for recognition of control chart patterns. Ranaee V, Ebrahimzadeh A, Ghaderi R. ISA Trans; 2010 Oct; 49(4):577-86. PubMed ID: 20663504 [Abstract] [Full Text] [Related]
2. Control chart pattern recognition using an optimized neural network and efficient features. Ebrahimzadeh A, Ranaee V. ISA Trans; 2010 Jul; 49(3):387-93. PubMed ID: 20403598 [Abstract] [Full Text] [Related]
3. Classification of electrocardiogram signals with support vector machines and particle swarm optimization. Melgani F, Bazi Y. IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082 [Abstract] [Full Text] [Related]
5. Statistical process control using optimized neural networks: a case study. Addeh J, Ebrahimzadeh A, Azarbad M, Ranaee V. ISA Trans; 2014 Sep; 53(5):1489-99. PubMed ID: 24210290 [Abstract] [Full Text] [Related]
7. [The study of SVM-based recognition of particles in urine sediment]. Fu C, Xia SR, Zhang ZC. Zhongguo Yi Liao Qi Xie Za Zhi; 2008 Nov; 32(6):409-12. PubMed ID: 19253571 [Abstract] [Full Text] [Related]
9. Control chart pattern recognition using K-MICA clustering and neural networks. Ebrahimzadeh A, Addeh J, Rahmani Z. ISA Trans; 2012 Jan; 51(1):111-9. PubMed ID: 22035774 [Abstract] [Full Text] [Related]
14. [Application of support vector machine in the detection of early cancer]. Gao Z, Gong J, Qin Q, Lin J. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2005 Oct; 22(5):1045-8. PubMed ID: 16294750 [Abstract] [Full Text] [Related]
15. ESVM: evolutionary support vector machine for automatic feature selection and classification of microarray data. Huang HL, Chang FL. Biosystems; 2007 Oct; 90(2):516-28. PubMed ID: 17280775 [Abstract] [Full Text] [Related]
16. Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis. Van Gestel T, Suykens JA, Lanckriet G, Lambrechts A, De Moor B, Vandewalle J. Neural Comput; 2002 May; 14(5):1115-47. PubMed ID: 11972910 [Abstract] [Full Text] [Related]