The introduction of a hierarchical memory structure into a cascade associative memory model for storing hierarchically correlated patterns improves the storage capacity and the size of the basins of attraction remarkably. A learning algorithm groups descendants (second-level patterns) according to t
Tree-like hierarchical associative memory structures
✍ Scribed by João Sacramento; Andreas Wichert
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 250 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In the present letter, the authors propose a model of hierarchical concept formation in auto-associative memory composed of neuro-window elements. When hierarchically correlated patterns are memorized, each center of the correlated memory patterns can be defined as a concept pattern which represents
The "live" neural network model is proposed on the basis of "live" neuron model and optimal learning rule. By means of numerical simulation the initial stages of neural network self-organization have been shown: (1) the formation of two activity forms, which are identified with sleep and awaking, an