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- W2024967546 abstract "This paper presents a neural networks simulation of two complex adaptive ecological systems with a discrete time delay. The first system is related to the photosynthetic production of phytoplankton, the second with a time delayed prey-predator system incorporating a prey refuge. The iterative adaptive critic design is developed to simulate the maximal photosynthetic production of the mechanistic model of phytoplankton photosynthesis with discrete time delays. The prey-predator system is simulated using back-propagation learning of infinite-dimensional dynamical systems. The proposed simulation method is based on the time-dependent recurrent learning of continuous-time Hopfield neural network with a discrete time delay with the prey-predator system as a teacher signal. Furthermore, numerical calculations are included to demonstrate the proposed simulation algorithms." @default.
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- W2024967546 date "2015-02-01" @default.
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- W2024967546 title "Adaptive critic design and Hopfield neural network based simulation of time delayed photosynthetic production and prey–predator model" @default.
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