Synchronous and asynchronous brain-state-in-a-box information system neural models.
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.
Chan
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HY
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA.
Hui
S
S
Zak
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D007256:Information Systems; D008959:Models, Neurological; D013997:Time Factors