کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6853460 | 1437185 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improving energy consumption of pattern recognition by combining processor-centric and bio-inspired considerations
ترجمه فارسی عنوان
بهبود مصرف انرژی تشخیص الگو با ترکیب ملاحظات پردازشگر مرکزی و زیست الهام گرفته شده
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper investigates aspects of bio-inspired models that help create more energy efficient methods in pattern recognition. A comparison between a biologically plausible pattern recognition approach and a purely computer based (algorithmic) approach yielded three main findings. Firstly, the occurrence of low-complexity parallel sub-processes within the bio-inspired approach allows higher energy efficiency by relaxing the requirement of having faster processors. Secondly, the bio-inspired approach takes advantage of numerous computationally inexpensive sub-processes that will scale better in massively parallel environments, such as neuromorphic computers, thus providing comparable speed. Finally, it is far more easier to adapt across a range of application domains than its algorithmic counterpart.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biologically Inspired Cognitive Architectures - Volume 23, January 2018, Pages 54-63
Journal: Biologically Inspired Cognitive Architectures - Volume 23, January 2018, Pages 54-63
نویسندگان
Yathindu R. Hettiarachchige, Asad I. Khan, Jan Carlo Barca,