کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409586 679079 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Hybrid e-regression and validation soft computing techniques: The case of wood dielectric loss factor
چکیده انگلیسی

This research effort has two orientations. First it aims in the application of hybrid soft computing techniques for the estimation of wood loss factor which is considered a very important feature for wood industry. This has been performed by employing fuzzy weighted Support Vector Machines (SVM), Global SVM and Artificial Neural Networks. The second part of this research focuses in the evaluation of the produced models by employing an innovative fuzzy logic method developed by our research team [10]. For this purpose, experimental data for two different wood species were used. The estimation of the dielectric properties of wood was done by using soft computing algorithms as a function of both ambient electro-thermal conditions applied during drying of wood and basic wood chemistry. The best fit neural models that were developed previously were compared to the current approaches in order to determine the optimal ones.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 107, 1 May 2013, Pages 33–39
نویسندگان
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