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- Title
Storage Capacities of Twin-Multistate Quaternion Hopfield Neural Networks.
- Authors
Kobayashi, Masaki
- Abstract
A twin-multistate quaternion Hopfield neural network (TMQHNN) is a multistate Hopfield model and can store multilevel information, such as image data. Storage capacity is an important problem of Hopfield neural networks. Jankowski et al. approximated the crosstalk terms of complex-valued Hopfield neural networks (CHNNs) by the 2-dimensional normal distributions and evaluated their storage capacities. In this work, we evaluate the storage capacities of TMQHNNs based on their idea.
- Subjects
COMPUTER storage capacity; HOPFIELD networks; NEURAL circuitry; CLIFFORD algebras; ROTORS
- Publication
Computational Intelligence & Neuroscience, 2018, p1
- ISSN
1687-5265
- Publication type
Article
- DOI
10.1155/2018/1275290