کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406647 678102 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Border Pairs Method—constructive MLP learning classification algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Border Pairs Method—constructive MLP learning classification algorithm
چکیده انگلیسی

In this paper we present the Border Pairs Method, a constructive learning algorithm for multilayer perceptron (MLP). During learning with this method a near-minimal network architecture is found. MLP learning is conducted separately by individual layers and neurons. The algorithm is tested in computer simulation with simple learning patterns (XOR and triangles image), with traditional learning patterns (Iris and Pen-Based Recognition of Handwritten Digits) and with noisy learning patterns. During the learning process we observed the following behaviour of BPM: capability to focus on global minima, good generalisation, no problems in learning with noisy, multi-dimensional and numerous learning patterns. The Border Pairs Method also supports incremental and online learning. Both are realized with or without MLP reconstruction and with or without forgetting (unlearning). The learning results with the BPM method are comparable with results from other methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 126, 27 February 2014, Pages 180–187
نویسندگان
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