کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412447 679641 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Presenting a new multiclass classifier based on learning automata
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Presenting a new multiclass classifier based on learning automata
چکیده انگلیسی

Among the various traditional approaches of pattern recognition, the statistical approach has been most intensively studied and used in practice. This paper presents a new classifier called MLAC for multiclass classification based on the learning automata. The proposed classifier using a soft decision method could find the optimal hyperplanes in solution space and separate available classes from each other well. We have tested the MLAC classifier on some multiclass datasets including IRIS, WINE and GLASS.1 The results show a significant improvement in comparison with the previous learning automata based classifiers as it has more accuracy and lower running time. Also, in order to evaluate performance of the proposed MLAC classifier, it has been compared with conventional classifiers such as K-Nearest Neighbor, Multilayer Perceptron, Genetic classifier and Particle Swarm classifier on these datasets in terms of accuracy. The obtained results show that the proposed MLAC classifier not only improves the classification's accuracy, but also reduces time complexity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 104, 15 March 2013, Pages 97–104
نویسندگان
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