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Natural learning of neural networks by reconfiguration
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- Spaanenburg, Lambert (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
- Alberts, R (author)
- Slump, C H (author)
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- vanderZwaag, B J (author)
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- (creator_code:org_t)
- SPIE, 2003
- 2003
- English.
- In: SPIE Proceedings on Bioengineered and Bioinspired Systems. - : SPIE. - 1996-756X .- 0277-786X. ; 5119, s. 273-284
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- The communicational and computational demands of neural networks are hard to satisfy in a digital technology. Temporal computing solves this problem by iteration, but leaves a slow network. Spatial computing was no option until the coming of modern FPGA devices. The letter shows how a small feed-forward neural module can be configured on the limited logic blocks between RAM and multiplier macro’s. It is then described how by spatial unrolling or by reconfiguration a large modular ANN can be built from such modules.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Spatial Computing
- ANN
- Modularity
- FPGA
- Reconfiguration
Publication and Content Type
- kon (subject category)
- ref (subject category)
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