کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408135 678250 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer
چکیده انگلیسی

A learning scheme based on Extreme Learning Machine (ELM) and L1/2L1/2 regularization is proposed for a double parallel feedforward neural network. ELM has been widely used as a fast learning method for feedforward networks with a single hidden layer. A key problem for ELM is the choice of the (minimum) number of the hidden nodes. To resolve this problem, we propose to combine the L1/2L1/2 regularization method, that becomes popular in recent years in informatics, with ELM. It is shown in our experiments that the involvement of the L1/2L1/2 regularizer in DPFNN with ELM results in less hidden nodes but equally good performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 128, 27 March 2014, Pages 113–118
نویسندگان
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