Abstract
Hash-coding is used in CMAC neural networks to reduce the required memory, thereby making the CMAC practical to implement. In this paper the original motivation and rationale for using hash-coding in CMAC [1] are questioned and it is shown that, contrary to the traditional believe, that hash-coding is unable to enhance CMAC's approximation ability. A comparison between the CMAC performance obtained with two popular hash-coding methods is given.
| Original language | English (US) |
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| Pages | 1698-1703 |
| Number of pages | 6 |
| State | Published - 1996 |
| Event | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA Duration: Jun 3 1996 → Jun 6 1996 |
Other
| Other | Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) |
|---|---|
| City | Washington, DC, USA |
| Period | 6/3/96 → 6/6/96 |
All Science Journal Classification (ASJC) codes
- Software