A combined self-organizing feature map and multilayer perceptron for isolated word recognition
β Scribed by Kuang, Z.; Kuh, A.
- Book ID
- 119789427
- Publisher
- IEEE
- Year
- 1992
- Tongue
- English
- Weight
- 675 KB
- Volume
- 40
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, a neural network model, the hypercolumn model (HCM), which is applicable to general image recognition, is proposed. The HCM is a combination model of hierarchical self-organizing maps (HSOM) and neocognitron (NC); it resolves the disadvantages of both the HSOM and the NC, and inherits
## Abstract A selfβorganizing map (SOM) performs a mapping of an object preserving its topological relations between input and output spaces, and also can be seen as a coordinate transformer that preserves adjacency relations. Since the standard SOM cannot deal with temporal data intrinsically, in