Abstract
Gaussian neural networks are considered to approximate any C2 function with support on the unit hypercube Im = [0,1]m in the sense of best approximation. An upper bound (O(N-2)) of the approximation error is obtained in the present paper for a Gaussian network having Nm hidden neurons with centers defined on a regular mesh in Im.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Neural Networks - Conference Proceedings |
Place of Publication | Piscataway, NJ, United States |
Publisher | IEEE |
Pages | 2400-2406 |
Number of pages | 7 |
Volume | 4 |
State | Published - 1994 |
Event | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA Duration: Jun 27 1994 → Jun 29 1994 |
Other
Other | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) |
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City | Orlando, FL, USA |
Period | 6/27/94 → 6/29/94 |
ASJC Scopus subject areas
- Software