Neural networks have been proposed as solutions to complex pattern recognition problems at which humans excel but for which algorithmic approaches have not been very successful. Examples of such problems include recognizing an object regardless of its viewing angle or perspective in an image and rec
โฆ LIBER โฆ
Back-propagation learning of neural networks for translation invariant pattern recognition
โ Scribed by Jianqiang Yi; Shuichi Kurogi; Kiyotoshi Matsuoka
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 747 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
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