In this article, we analyze the use of the continuous classifying associative memory (CCLAM) to store linguistic information. Freedom in the choice of the functions that control the operation of the CCLAM equip this memory with the capacity to adapt to different information storage and recovery need
Extension from a linear associative memory to a linguistic linear associative memory
β Scribed by A. Blanco; M. Delgado; W. Fajardo
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 291 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0884-8173
No coin nor oath required. For personal study only.
β¦ Synopsis
αΊe
present a linguistic extension from a crisp model by using a codification model that allows us to implement a fuzzy system on a discrete decision model. The paper begins with an introduction to the representation of fuzzy information, followed by a discussion of the codification method and the extension of a linear associative memory to a linguistic linear associative memory. Finally, we enumerate the advantages and disadvantages of the obtained linguistic linear associative memory.
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