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Journal Abstract Search
330 related items for PubMed ID: 22035774
1. 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]
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. A research about breast cancer detection using different neural networks and K-MICA algorithm. Kalteh AA, Zarbakhsh P, Jirabadi M, Addeh J. J Cancer Res Ther; 2013 Jul; 9(3):456-66. PubMed ID: 24125983 [Abstract] [Full Text] [Related]
4. 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]
5. 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]
6. Clustering: a neural network approach. Du KL. Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784 [Abstract] [Full Text] [Related]
7. Online clustering algorithms for radar emitter classification. Liu J, Lee JP, Senior, Li L, Luo ZQ, Wong KM. IEEE Trans Pattern Anal Mach Intell; 2005 Aug; 27(8):1185-96. PubMed ID: 16119259 [Abstract] [Full Text] [Related]
9. Skin segmentation using color pixel classification: analysis and comparison. Phung SL, Bouzerdoum A, Chai D. IEEE Trans Pattern Anal Mach Intell; 2005 Jan; 27(1):148-54. PubMed ID: 15628277 [Abstract] [Full Text] [Related]
10. Classification of the electrocardiogram signals using supervised classifiers and efficient features. Zadeh AE, Khazaee A, Ranaee V. Comput Methods Programs Biomed; 2010 Aug; 99(2):179-94. PubMed ID: 20510478 [Abstract] [Full Text] [Related]
11. Selecting critical patterns based on local geometrical and statistical information. Li Y, Maguire L. IEEE Trans Pattern Anal Mach Intell; 2011 Jun; 33(6):1189-201. PubMed ID: 21493967 [Abstract] [Full Text] [Related]
12. Automated variable weighting in k-means type clustering. Huang JZ, Ng MK, Rong H, Li Z. IEEE Trans Pattern Anal Mach Intell; 2005 May; 27(5):657-68. PubMed ID: 15875789 [Abstract] [Full Text] [Related]
13. Fault detection and diagnosis for non-Gaussian stochastic distribution systems with time delays via RBF neural networks. Yi Q, Zhan-ming L, Er-chao L. ISA Trans; 2012 Nov; 51(6):786-91. PubMed ID: 22902083 [Abstract] [Full Text] [Related]
14. Evaluation of stability of k-means cluster ensembles with respect to random initialization. Kuncheva LI, Vetrov DP. IEEE Trans Pattern Anal Mach Intell; 2006 Nov; 28(11):1798-808. PubMed ID: 17063684 [Abstract] [Full Text] [Related]
15. Online dimensionality reduction using competitive learning and Radial Basis Function network. Tomenko V. Neural Netw; 2011 Jun; 24(5):501-11. PubMed ID: 21420831 [Abstract] [Full Text] [Related]
16. GFAM: evolving Fuzzy ARTMAP neural networks. Al-Daraiseh A, Kaylani A, Georgiopoulos M, Mollaghasemi M, Wu AS, Anagnostopoulos G. Neural Netw; 2007 Oct; 20(8):874-92. PubMed ID: 17851035 [Abstract] [Full Text] [Related]
17. A novel kernel method for clustering. Camastra F, Verri A. IEEE Trans Pattern Anal Mach Intell; 2005 May; 27(5):801-5. PubMed ID: 15875800 [Abstract] [Full Text] [Related]