PSO - SVM Based Classifiers: A Comparative Approach
作者： Yamuna Prasad , K. K. Biswas
DOI: 10.1007/978-3-642-14834-7_23
关键词: Automation 、 Dimensionality reduction 、 Computer science 、 Support vector machine 、 Binary number 、 Artificial intelligence 、 Pattern recognition 、 Random subspace method 、 Natural computing 、 Particle swarm optimization 、 Classifier (UML)
摘要: Evolutionary and natural computing techniques have been drawn considerable interest for analyzing large datasets with number of features. Various flavors Particle Swarm Optimization (PSO) applied in the various research applications like Control Automation, Function Optimization, Dimensionality Reduction, classification. In present work, we SVM based classifier along Novel PSO Binary on Huesken dataset siRNA features as well nine other benchmark achieved results are quite satisfactory. The our study compared available literature.
springer.com
researchgate.net 
sci-hub.se 参考文章(25)
Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-qiang Wang, Xin Huang, A Novel Hybrid GA/SVM System for Protein Sequences Classification intelligent data engineering and automated learning. pp. 11- 16 ,(2004) , 10.1007/978-3-540-28651-6_2
Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck, An accurate and interpretable model for siRNA efficacy prediction. BMC Bioinformatics. ,vol. 7, pp. 520- 520 ,(2006) , 10.1186/1471-2105-7-520
Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He, Feature selection with particle swarms computational intelligence and security. pp. 425- 430 ,(2004) , 10.1007/978-3-540-30497-5_66
Crina Grosan, Ajith Abraham, Monica Chis, Swarm Intelligence in Data Mining Swarm Intelligence in Data Mining. pp. 1- 20 ,(2009) , 10.1007/978-3-540-34956-3_1
Chi-Ho Tsang, Sam Kwong, Ant Colony Clustering and Feature Extraction for Anomaly Intrusion Detection Swarm Intelligence in Data Mining. pp. 101- 123 ,(2006) , 10.1007/978-3-540-34956-3_5
Olga Matveeva, Yury Nechipurenko, Leo Rossi, Barry Moore, Pål Sætrom, Aleksey Y Ogurtsov, John F Atkins, Svetlana A Shabalina, Comparison of approaches for rational siRNA design leading to a new efficient and transparent method Nucleic Acids Research. ,vol. 35, ,(2007) , 10.1093/NAR/GKM088
Pål Sætrom, Ola Snøve, A comparison of siRNA efficacy predictors Biochemical and Biophysical Research Communications. ,vol. 321, pp. 247- 253 ,(2004) , 10.1016/J.BBRC.2004.06.116
Chakresh Kumar Jain, Yamuna Prasad, Feature selection for siRNA efficacy prediction using natural computation nature and biologically inspired computing. pp. 1759- 1764 ,(2009) , 10.1109/NABIC.2009.5393630
Shahla Nemati, Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam, A novel ACO–GA hybrid algorithm for feature selection in protein function prediction Expert Systems with Applications. ,vol. 36, pp. 12086- 12094 ,(2009) , 10.1016/J.ESWA.2009.04.023
Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Mohammad Ehsan Basiri, Text feature selection using ant colony optimization Expert Systems With Applications. ,vol. 36, pp. 6843- 6853 ,(2009) , 10.1016/J.ESWA.2008.08.022