Many important characteristics of simulation models, including queuing models, can be investigated by the use of metamodels. Problems in qualitative analysis such as analyzing mod...
Juri Tolujev, Peter Lorenz, Daniel Beier, Thomas J...
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
Abstract— Quantum mechanics and molecular dynamic simulation provide important insights into structural configurations and molecular interaction data today. To extend this atomi...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Efficiently planning and managing workforce is a challenge imposed on many companies, especially for those in the service industry. The target of an effective workforce management...
Lianjun An, Jun-Jang Jeng, Young M. Lee, Changrui ...