کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410614 679154 2009 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pruning and regularization in reservoir computing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Pruning and regularization in reservoir computing
چکیده انگلیسی

Reservoir computing is a new paradigm for using recurrent neural network with a much simpler training method. The key idea is to use a large but fixed recurrent part as a reservoir of dynamic features and to train only the output layer to extract the desired information. We propose to study how pruning some connections from the reservoir to the output layer can help on the one hand to increase the generalization ability, in much the same way as regularization techniques do, and on the other hand to improve the implementability of reservoirs in hardware.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 7–9, March 2009, Pages 1534–1546
نویسندگان
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