Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks

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Date

2008

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Springer

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Department of Mechatronics Engineering
Our purpose in the program is to educate our students for contributing to universal knowledge by doing research on contemporary mechatronics engineering problems and provide them with design, production and publication skills. To reach this goal our post graduate students are offered courses in various areas of mechatronics engineering, encouraged to do research to develop their expertise and their creative side, as well as develop analysis and design skills.

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Abstract

A modified form of a recent criterion for the global robust stability of interval-delayed Hopfield neural networks is presented. The effectiveness of the modified criterion is demonstrated with the help of an example.

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interval neural networks, equilibrium analysis, robust stability, Hopfield neural networks, neural networks

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Q3

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Q3

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Volume

27

Issue

3

Start Page

257

End Page

265

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https://doi.org/10.1007/s11063-008-9074-0
 https://hdl.handle.net/20.500.14411/1021

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