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AUTOMATICA
2006
90views more  AUTOMATICA 2006»
15 years 6 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
FSS
2008
147views more  FSS 2008»
15 years 6 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner
FSS
2008
113views more  FSS 2008»
15 years 6 months ago
Consistency measure, inclusion degree and fuzzy measure in decision tables
Classical consistency degree has some limitations for measuring the consistency of a decision table, in which the lower approximation of a target decision is only taken into consi...
Yuhua Qian, Jiye Liang, Chuangyin Dang
IANDC
2008
112views more  IANDC 2008»
15 years 6 months ago
Inclusion dynamics hybrid automata
Hybrid systems are dynamical systems with the ability to describe mixed discretecontinuous evolution of a wide range of systems. Consequently, at first glance, hybrid systems appe...
Alberto Casagrande, Carla Piazza, Alberto Policrit...
IDA
2008
Springer
15 years 6 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
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