An image reconstruction algorithm for electrical capacitance tomography based on simulated annealing particle swarm optimization
Título del documento: An image reconstruction algorithm for electrical capacitance tomography based on simulated annealing particle swarm optimization
Revista: Journal of applied research and technology
Base de datos: PERIÓDICA
Número de sistema: 000394044
ISSN: 1665-6423
Autores: 1
2
1
Instituciones: 1Xi'an University of Science and Technology, School of Electric and Control, Xi'an, Shaanxi. China
2National Chin-Yi University of Technology, Department of Computer Science and Information Engineering, Taichung. Taiwán
Año:
Periodo: Abr
Volumen: 13
Número: 2
Paginación: 197-204
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés In this paper, we introduce a novel image reconstruction algorithm with Least Squares Support Vector Machines (LS-SVM) and Simulated Annealing Particle Swarm Optimization (APSO), named SAP. This algorithm introduces simulated annealing ideas into Particle Swarm Optimization (PSO), which adopts cooling process functions to replace the inertia weight function and constructs the time variant inertia weight function featured in annealing mechanism. Meanwhile, it employs the APSO procedure to search for the optimized resolution of Electrical Capacitance Tomography (ECT) for image reconstruction. In order to overcome the soft field characteristics of ECT sensitivity field, some image samples with typical flow patterns are chosen for training with LS-SVM. Under the training procedure, the capacitance error caused by the soft field characteristics is predicted, and then is used to construct the fitness function of the particle swarm optimization on basis of the capacitance error. Experimental results demonstrated that the proposed SAP algorithm has a quick convergence rate. Moreover, the proposed SAP outperforms the classic Landweber algorithm and Newton-Raphson algorithm on image reconstruction
Disciplinas: Ciencias de la computación,
Ingeniería
Palabras clave: Procesamiento de datos,
Ingeniería de control,
Tomografía de capacitancia eléctrica,
Algoritmos,
Recocido simulado,
Máquinas vectoriales de soporte,
Optimización por enjambre de partículas
Keyword: Computer science,
Engineering,
Data processing,
Control engineering,
Electrical capacitance tomography,
Algorithms,
Simulated annealing,
Support vector machines,
Particle swarm optimization
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