SYNCHRONOUS AND ASYNCHRONOUS BRAIN-STATE-IN-A-BOX INFORMATION SYSTEM NEURAL MODELS
1999 ◽
Vol 09
(01)
◽
pp. 61-74
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Keyword(s):
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.
2017 ◽
pp. 148-163
◽
2009 ◽
Vol 2009
(1)
◽
2012 ◽
Vol 90
(6)
◽
pp. 444-451
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Keyword(s):
2009 ◽
Vol 58
(10-11)
◽
pp. 754-758
◽
2008 ◽
Vol 53
(7)
◽
pp. 1765-1770
◽
2009 ◽
Vol 52
(1)
◽
pp. 84-90
◽