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Artificial neural networks were chosen as the algorithms for the models development and back-propagation multi-layer perceptrons as well as neuro-fuzzy systems of Mamdani MISO (multiple input single output) type were tested.
Although these data are from the BDTNP, they were not used during our models' development, and hence this can be considered an independent test.
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MML's design supports the model development and unit balance aspects of modeling steps 2 and 3 above.
The Automated Predictive Modeling, another modeling system [28], demands expert technical skills and significant resources for model development and maintenance.
All members were involved in model development and writing.
In some sense, this is analogous to the distinction between model development and model deployment.
SFT and AB contributed to data preparation for model development and validation and drafted the manuscript.
I: Model development and II: Numerical simulation and experimental evaluation.
"Model development and data collection should be more integrated.
Finally, model development and validations emphasize on a standardized process of internal and external model validation.
Agent-based models are often run in interactive mode during model development and scenario creation.
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