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This improvement was achieved using process modeling approaches; a mixture of hard and soft modeling techniques were applied, and a case study approach was used to analyze findings both with respect to the utility of tools and the process improvement itself.
Summarizing it can be said that numerous models and modeling techniques were surveyed and reviewed that are connected to fields of modeling renewable energy policy evaluation.
Two modeling techniques were used.
The modeling techniques were described in detail.
As mentioned before, the identified renewable energy (system) modeling techniques were grouped (Fig. 1).
In this study, improved simplified modeling techniques were developed that are generally applicable for box girder bridges.
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Both deterministic and stochastic modeling techniques are discussed.
The proposed modeling techniques are proposed in "Artificial neural network" section.
Multivariable modeling techniques are appearing in today's medical literature with increasing frequency.
Conventional modeling techniques are unable to account these key design issues.
With that regard, state-of-art mechanistic process modeling techniques are described in detail.
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