Neural Network Modeling and Organization of a Hierarchical Associative Memory System
Author:
Publisher
Allerton Press
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.3103/S1052618821080148.pdf
Reference17 articles.
1. Meijia, S. and Xiaoping, W., A memristor-based circuit design for generalization and differentiation on Pavlov associative memory, Neurocomputing, 2020, vol. 389, pp. 18–26. https://doi.org/10.1016/j.neucom.2019.12.106
2. Jalaleddine, S.M., Associative memories and processors: The exact match paradigm, J. King Saud Univ. - Comput. Inf. Sci., 1999, vol. 11, pp. 45–67. https://doi.org/10.1016/S1319-1578(99)80003-2
3. Tiba, A.K.O. and Araujo, A.F.R., Control strategies for Hopf bifurcation in a chaotic associative memory, Neurocomputing, 2019, vol. 323, pp. 157–174. https://doi.org/10.1016/j.neucom.2018.09.078
4. Li, L., Pedrycz, W., Qu, T., and Li, Z., Fuzzy associative memories with autoencoding mechanisms, Knowl.-Based Syst., 2020, vol. 191, p. 105090. https://doi.org/10.1016/j.knosys.2019.105090
5. Ramírez-Rubio, R., Aldape-Pérez, M., Yáñez-Márquez, C., López-Yáñez, I., and Camacho-Nieto, O., Pattern classification using smallest normalized difference associative memory, Pattern Recognit. Lett., 2017, vol. 93, pp. 104–112. https://doi.org/10.1016/j.patrec.2017.02.013
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