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On impulsive autoassociative neural networks

โœ Scribed by Zhi-Hong Guan; James Lam; Guanrong Chen

Book ID
104349026
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
109 KB
Volume
13
Category
Article
ISSN
0893-6080

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โœฆ Synopsis

Many systems existing in physics, chemistry, biology, engineering, and information science can be characterized by impulsive dynamics caused by abrupt jumps at certain instants during the process. These complex dynamical behaviors can be modeled by impulsive differential systems or impulsive neural networks. This paper formulates and studies a new model of impulsive autoassociative neural networks. Several fundamental issues, such as global exponential stability and existence and uniqueness of equilibria of such neural networks, are established.

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On delayed impulsive Hopfield neural net
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โœ Zhi-Hong Guan; Guanrong Chen ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 108 KB

Many evolutionary processes, particularly some biological systems, exhibit impulsive dynamical behaviors, which can be well described by impulsive Hopfield neural networks. This paper formulates and studies a model of delayed impulsive Hopfield neural networks. Several fundamental issues such as glo