An Efficient Mapping of Fuzzy ART onto a Neural Architecture
✍ Scribed by Matthias Blume; Sadik C. Esener
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 678 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0893-6080
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✦ Synopsis
Anovel mapping of the Fuzzy ART algorithm onto a neural network architecture is described. The architecture does not utilize bi-directional synapses, weight transport, or weight duplication, and requires onefewer layer of processing elements than the architecture originally proposed by Carpenter et al. (1991a). In the new architecture, execution of the algorithm takes a constant time per input vector regardless of the relationship between the input and existing templates, and several control signals are eliminated. This mapping facilitates hardware implementation of Fuzzy ARTandfirthermore serves as a tool for envisioning and understanding the algorithm, O 1997 Elsevier Science Ltd. All Rights Reserved.