کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
731344 893047 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gene expression programming for automatic circuit model identification in impedance spectroscopy: Performance evaluation
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Gene expression programming for automatic circuit model identification in impedance spectroscopy: Performance evaluation
چکیده انگلیسی


• Analysis of gene expression programming implementations for impedance spectroscopy.
• Evaluation with simulated impedance data and validation with measured data.
• Combined components reduces execution time with the same level of results.
• Higher population size also reduces execution time with the same level of results.

Circuit/model identification is applied to impedance spectroscopy when there is no prior knowledge of the inner workings of the sensor or process under analysis. This paper presents a performance assessment of gene expression programming for automatic circuit model identification in impedance spectroscopy. The main objective of this work is to improve gene expression programming specific implementation details, with pre-embedding knowledge regarding circuit simplification rules, in order to improve its performance for circuit identification in impedance spectroscopy. Three different versions of gene expression programming are presented, discussed and analyzed. Insight is given into the inner workings of gene expression programming while highlighting the proposed changes in the three versions. The performance of the improved algorithm is analyzed through numerical simulated impedance data. It is further validated by the successful application to measurements of a real sensor along with a study of its performance on measured data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 46, Issue 10, December 2013, Pages 4379–4387
نویسندگان
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