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Synchronous and asynchronous brain-state-in-a-box information system neural models.

Abstract

Synchronous and asynchronous information system neural models are proposed that are hybrids of Pawlak's information system and Brain-State-in-a-Box (BSB) neural models. The stability of the proposed models is studied using LaSalle's Invariance Principle. Applications to an analysis of the United Nations activities are presented as examples.

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BibTeXRIS

H Y Chan, S Hui, S H Zak. 1999. Synchronous and asynchronous brain-state-in-a-box information system neural models.. https://doi.org/10.1142/s012906579900006x

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