Precision requirements for single-layer feed-forward neural networks

Anne J. Annema; K. Hoen; Klaas Hoen; Hans Wallinga

doi:10.1109/ICMNN.1994.593243

Precision requirements for single-layer feed-forward neural networks

Anne J. Annema, K. Hoen, Klaas Hoen, Hans Wallinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

21 Citations (Scopus)

88 Downloads (Pure)

Abstract

This paper presents a mathematical analysis of the effect of limited precision analog hardware for weight adaptation to be used in on-chip learning feedforward neural networks. Easy-to-read equations and simple worst-case estimations for the maximum tolerable imprecision are presented. As an application of the analysis, a worst-case estimation on the minimum size of the weight storage capacitors is presented

Original language	English
Title of host publication	Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	-
ISBN (Print)	9780818667107
DOIs	https://doi.org/10.1109/ICMNN.1994.593243
Publication status	Published - 1994
Event	4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994 - Turin, Italy Duration: 26 Sep 1994 → 28 Sep 1994 Conference number: 4

Publication series

Name
Publisher	IEEE
Volume	145

Conference

Conference	4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994
Abbreviated title	ICMNN
Country	Italy
City	Turin
Period	26/09/94 → 28/09/94

Keywords

IR-56029
METIS-310955

Access to Document

10.1109/ICMNN.1994.593243

00593243
open

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Cite this

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title = "Precision requirements for single-layer feed-forward neural networks",

abstract = "This paper presents a mathematical analysis of the effect of limited precision analog hardware for weight adaptation to be used in on-chip learning feedforward neural networks. Easy-to-read equations and simple worst-case estimations for the maximum tolerable imprecision are presented. As an application of the analysis, a worst-case estimation on the minimum size of the weight storage capacitors is presented",

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Annema, AJ, Hoen, K, Hoen, K & Wallinga, H 1994, Precision requirements for single-layer feed-forward neural networks. in Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994. IEEE, Piscataway, NJ, USA, pp. -, 4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994, Turin, Italy, 26/09/94. https://doi.org/10.1109/ICMNN.1994.593243

Precision requirements for single-layer feed-forward neural networks. / Annema, Anne J.; Hoen, K.; Hoen, Klaas; Wallinga, Hans.

Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994. Piscataway, NJ, USA : IEEE, 1994. p. -.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Wallinga, Hans

PY - 1994

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AB - This paper presents a mathematical analysis of the effect of limited precision analog hardware for weight adaptation to be used in on-chip learning feedforward neural networks. Easy-to-read equations and simple worst-case estimations for the maximum tolerable imprecision are presented. As an application of the analysis, a worst-case estimation on the minimum size of the weight storage capacitors is presented

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KW - METIS-310955

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BT - Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994

PB - IEEE

CY - Piscataway, NJ, USA

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