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.
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA.
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D007256:Information Systems; D008959:Models, Neurological; D013997:Time Factors