کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
739718 1461654 2008 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of the operational parameters in a fast axial flow CW CO2 laser using artificial neural networks and genetic algorithms
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
پیش نمایش صفحه اول مقاله
Optimization of the operational parameters in a fast axial flow CW CO2 laser using artificial neural networks and genetic algorithms
چکیده انگلیسی

This paper presents an artificial intelligence approach for optimization of the operational parameters such as gas pressure ratio and discharge current in a fast-axial-flow CW CO2 laser by coupling artificial neural networks and genetic algorithm. First, a series of experiments were used as the learning data for artificial neural networks. The best-trained network was connected to genetic algorithm as a fitness function to find the optimum parameters. After the optimization, the calculated laser power increases by 33% and the measured value increases by 21% in an experiment as compared to a non-optimized case.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics & Laser Technology - Volume 40, Issue 8, November 2008, Pages 1000–1007
نویسندگان
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