کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4971203 | 1450460 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A dummy cell added neural network using in pattern recognition for prevention of failed events
ترجمه فارسی عنوان
یک سلول ساختگی، شبکه عصبی را با استفاده از تشخیص الگو برای جلوگیری از وقایع شکست خورده، اضافه کرد
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سخت افزارها و معماری
چکیده انگلیسی
Brain-inspired neuromorphic computing systems are receiving significant attention. A typical neuromorphic computing system is the neuron network, whose basic performance is the integrate-and-fire operation. However, latency issues can occur if the integrated signal is not sufficient during the integration process, the integration time is too long, or no firing occurs. In this paper, we propose a dummy cell added neural network to ensure complete I&F operation. The dummy cell compensates the weak signals to ensure a complete I&F operation and to modulate the integration time; but makes negligible influence on the strong signals. The firing rate of a weak signal increases from 80% to 100%. Finally, we analyzed the external area consumption of dummy cells, it can be reduced as small as a few thousandths with large number of input neurons. This proposed scheme can be used in pattern recognition to increase reliability and modulate the integration time.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microelectronics Journal - Volume 68, October 2017, Pages 23-31
Journal: Microelectronics Journal - Volume 68, October 2017, Pages 23-31
نویسندگان
Cheng Li, Yun-Heub Song,