Precision requirements for single-layer feedforward neural networks


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Annema, A.J. and Hoen, K. and Wallinga, H. (1994) Precision requirements for single-layer feedforward neural networks. In: Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems, 26-28 September 1994, Turin, Italy (pp. pp. 145-151).

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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
Item Type:Conference or Workshop Item
Copyright:© 1994 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/56029
Official URL:http://dx.doi.org/10.1109/ICMNN.1994.593243
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