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- W2511820215 abstract "This paper aims to study delayed Hopfield neural networks with fractional-order Caputo derivative. With the help of the equivalent norm techniques and fixed point theorem, the new sufficient conditions to assure the existence, uniqueness and stability of fractional-order Hopfield neural networks with delays are obtained. Finally, the efficiency of the derived criteria is illustrated by two examples." @default.
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- W2511820215 date "2016-07-01" @default.
- W2511820215 modified "2023-09-23" @default.
- W2511820215 title "New stability results of fractional-order Hopfield neural networks with delays" @default.
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- W2511820215 doi "https://doi.org/10.1109/chicc.2016.7553906" @default.
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