کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412842 679683 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
First and second order sensitivity analysis of MLP
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
First and second order sensitivity analysis of MLP
چکیده انگلیسی

Multi-layered perceptrons (MLP) can build accurate classification and function mapping models; however, they have also been labeled a “black box” because they provide little explanatory insight into the contributions of the input variables in the prediction model. In this study, we derived the first- and second-order effect index and importance index through the differential statistical method. To verify these indexes, this study employed two man-made examples and two real application examples to test the performance of these indexes. The results showed that these indexes can really identify important variables and discover the relations between input and output variables; therefore, they give MLP some explanation ability, and raise the transparency of MLP model to overcome its black-box model shortcomings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 10–12, June 2010, Pages 2225–2233
نویسندگان
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