Capacity of associative memory using a nonmonotonic neuron model
β Scribed by Shuji Yoshizawa; Masahiko Morita; Shun-Ichi Amari
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 725 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## αΊe present a new associative memory model that stores arbitrary bipolar patterns without the problems we can find in other models like BAM or LAM. After identifying those problems we show the new memory topology and we explain its learning and recall stages. Mathematical demonstrations are provi
This paper proposes a new correlation matrix network model of associative memory in brain. Each memorized pattern which consists of binary (+1 or -1) elements is preprocessed by a quantized Hadamard transform to increase selectivity. The association ability of a correlation matrix network model depe
Unstable periodic orbits are the skeleton of a chaotic attractor. We constructed an associative memory based on the chaotic attractor of an artificial neural network, which associates input patterns to unstable periodic orbits. By processing an input, the system is driven out of the ground state to