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Moreover, the obtained results are dependent on the leakage delay.
This paper does not involve proportional delay and leakage delay.
Leakage delay has been considered as a time-varying delay.
For instance, leakage delay can destabilize a model [22].
The firefly algorithm optimizes the cost of leakage delay product (LDP) under various resource constraints.
Also, neural networks with leakage delay is one of the important types of neural networks.
Hence, the effect of leakage delay in the dynamical system cannot be neglected.
A typical time delay called leakage delay has a tendency to destabilize a system.
Recently, the neural networks with leakage delay have received much attention [8 13, 16, 35, 36].
Gopalasamy [17] initially investigated the dynamics of bidirectional associative memory (BAM) network model with leakage delay.
Since the leakage delay has a great impact on the dynamical behavior of neural networks, it is necessary to take the effect of leakage delay on state estimation of neural networks into account.
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