Abstract
Original language | English |
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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 | |
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 | |
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Publisher | IEEE |
Volume | 145 |
Conference
Conference | 4th International Conference on Microelectronics for Neural Networks and Fuzzy Systems, ICMNN 1994 |
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Abbreviated title | ICMNN |
Country | Italy |
City | Turin |
Period | 26/09/94 → 28/09/94 |
Fingerprint
Keywords
- IR-56029
- METIS-310955
Cite this
}
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
TY - GEN
T1 - Precision requirements for single-layer feed-forward neural networks
AU - Annema, Anne J.
AU - Hoen, K.
AU - Hoen, Klaas
AU - Wallinga, Hans
PY - 1994
Y1 - 1994
N2 - 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
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
KW - IR-56029
KW - METIS-310955
U2 - 10.1109/ICMNN.1994.593243
DO - 10.1109/ICMNN.1994.593243
M3 - Conference contribution
SN - 9780818667107
SP - -
BT - Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 1994
PB - IEEE
CY - Piscataway, NJ, USA
ER -