کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946559 1439407 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust spike-train learning in spike-event based weight update
ترجمه فارسی عنوان
یادگیری ستون فقرات قوی در به روز رسانی وزن بر اساس رویداد سنبله
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In this paper, we build upon spike-event based weight update strategy to learn continuous spike-train in a spiking neural network with a hidden layer using a dead zone on-off based adaptive learning rate rule which ensures convergence of the learning process in the sense of weight convergence and robustness of the learning process to external disturbances. Based on different benchmark problems, we compare this new method with other relevant spike-train learning algorithms. The results show that the speed of learning is much improved and the rate of successful learning is also greatly improved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 96, December 2017, Pages 33-46
نویسندگان
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