Detecting chaos with local associative memories
✍ Scribed by J. Jiménez; J. Moreno; G.J. Ruggeri; A. Marcano
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 533 KB
- Volume
- 169
- Category
- Article
- ISSN
- 0375-9601
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## a b s t r a c t Recently, a variety of chaos-based hash functions have been proposed. Nevertheless, none of them can realize modification localization. In this paper, a hash function with both modification detection and localization capabilities is proposed, which can also support the parallel p
We recently employed concepts of mathematical morphology to introduce fuzzy morphological associative memories (FMAMs), a broad class of fuzzy associative memories (FAMs). We observed that many well-known FAM models can be classified as belonging to the class of FMAMs. Moreover, we developed a gener