In an effort to evaluate the efficiency of the neural net implementation for simulation modeling, we have compared its performance with traditional methods for ...
Neural Network Models In Simulation: A Comparison With Traditional ...
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In an effort to evaluate the efficiency of the neural net implementation for simulation modeling, we have compared its performance with traditional methods for ...
Both of the latter approaches are standard features in many statistical software packages. We have found that the neural net model appears to be inadequate in ...
Winter Simulation Conference Proceedings. Neural Network Models in Simulation: A Comparison with Traditional Modeling Approaches. Neural Network Models in ...
Proceedings of the 1989 Winter Simulation Conference. E.A. MacNair, K.J. Musselman, P. Heidelberger (eds.) NEURAL NETWORK MODELS IN SIMULATION: A COMPARISON ...
Neural Network Models in Simulation: A Comparison With Traditional Modeling Approaches. Transféré par. yonastegene638. 0 évaluation0% ont trouvé ce document ...
Oct 22, 2024 · This study is to investigate and compare different forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with ...
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Bibliographic details on Neural network models in simulation: a comparison with traditional modeling approaches.
Comparison of traditional and neural network approaches to stochastic ...
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A comparison between neural network and traditional approaches to nonlinear system identification is investigated with respect to aspects of model performa.
The neuron state modeling and the local field modeling provides two fundamental modeling approaches to neural network research.