제어로봇시스템학회:학술대회논문집
- 2001.10a
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- Pages.43.5-43
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- 2001
A New Methodology for the Optimal Design of BSB Neural Associative Memories Considering the Domain of Attraction
Abstract
This paper considers a new synthesis of the optimally performing brain-state-in-a-box (BSB) neural associative memory given a set of prototype patterns to be stored as asymptotically stable equilibrium points with the large and uniform size of the domain of attraction (DOA). First, we propose a new theorem that will be used to provide a guideline in design of the BSB neural associative memory. Finally, a design example is given to illustrate the proposed approach and to compare with existing synthesis methods.
Keywords