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This paper presents a new model for simulating Spiking Neural Networks using discrete event simulation which might possibly offer advantages concerning ...
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decision with artificial neural networks in discrete event simulation models ...
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This work aims to demonstrate the use of a mechanism to be applied in the development of the discrete-event simulation models that perform decision ...
Discrete event simulation (DES) is a powerful computational technique that can be used to monitor the interactions between important processes and parameters in ...
This paper proposes and evaluates a neural network-based method for simulating manufacturing processes that exhibit both noncontinuous and stochastic ...
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Dec 2, 2021 · In this paper, we propose a novel discrete event simulator, sim4DistrDL, which includes a deep learning module and a network simulation module.
[PDF] A Discrete-Event Neural Network Simulator for General Neuron Models
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A high- precision and efficient simulator for pulsed neural networks is demanded for studying the temporal behaviour of the brain. Most existing simulators are ...
The simulation method is used to obtain approximate solutions to operations planning problems. Its power comes from the ability to model complex systems ...
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Mar 4, 2022 · In this interview we discussed potential use cases of artificial intelligence for discrete-event simulation in the context of supply chain ...
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Mar 1, 2022 · In this paper, we propose a novel discrete event simulator, sim4DistrDL, which includes a deep learning module and a network simulation module ...
Efficient simulation techniques for a discrete-event pulsed neural network simulator are developed. In a discrete-event simulation framework, simulation of ...