A PSO-SVM Based Model for Alpha Particle Activity Prediction Inside Decommissioned Channels

This paper presents a hybrid Support Vector Machine (SVM) and Particle Swarm Optimization (PSO) model for predicting alpha particles emitting contamination on the internal surfaces of decommissioned channels. Six measuring parameters (channel diameter, channel length, distance to radioactive source, radioactive strength, wind speed and flux) and one ionizing value have been obtained via experiments. These parameters show complex linear and nonlinear relationships to measuring results. The model used PSO to optimize SVM parameters. The comparison of computational results of the hybrid approach with normal BP networks confirms its clear advantage for dealing with this complex nonlinear prediction.

[1]  X. C. Guo,et al.  A novel LS-SVMs hyper-parameter selection based on particle swarm optimization , 2008, Neurocomputing.

[2]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[3]  Long Jin,et al.  A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology , 2010, Int. J. Comput. Intell. Appl..

[4]  Myong Kee Jeong,et al.  Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine , 2010, Expert Syst. Appl..

[5]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[6]  Duncan W. MacArthur,et al.  Field study of alpha characterization of a D&D site using long-range alpha detectors , 1994 .

[7]  R. D. Bolton.  Radon monitoring using long-range alpha detector-based technology , 1994, Proceedings of 1994 IEEE Nuclear Science Symposium - NSS'94.

[8]  Duncan W. MacArthur,et al.  Long-range alpha detector (LRAD) , 1991 .

[9]  Sayan Mukherjee,et al.  Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.

[10]  K B Butterfield,et al.  Long-range alpha detector. , 1992, Health physics.

[11]  Richard M. Rousseau,et al.  Corrections for matrix effects in X-ray fluorescence analysis—A tutorial , 2006 .

[12]  Eslam Pourbasheer,et al.  Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity. , 2009, European journal of medicinal chemistry.

[13]  Duncan W. MacArthur,et al.  Small long-range alpha detector (LRAD) with computer readout , 1991 .

[14]  Yang Jianbo,et al.  measuring energy loss of alpha particles in different vacuum conditions , 2011 .

[15]  D.W. MacArthur,et al.  Long-range alpha detector (LRAD) for contamination monitoring , 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.