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In particular, two CI strategies are used: one based on artificial neural network and the other one based on a neuro-fuzzy system.
Black box statistical analysis: a method based on artificial neural networks that assesses safety-based on information about the relevance and influence of the ITS on accident characteristics.
Nonlinear prediction methods (e.g., based on artificial neural networks models) usually compare the present condition with similar ones happened in the past and saved in a database.
The model was developed based on artificial neural networks.
After feature extraction and selection, a classifier based on artificial neural network (ANN) is established.
In this paper a novel scenario generation methodology based on artificial neural networks (ANNs) is proposed.
This article proposes an approach based on Artificial Neural Networks (ANNs) for solving these problems.
This paper presents a dynamic model of the kneading process based on artificial neural networks.
The approach used is the experimental system identification1 based on Artificial Neural Networks (ANN).
We have developed a code based on artificial neural networks (ANN) to analyse RBS data.
Therefore, prediction of overall dimensional accuracy is made based on artificial neural network (ANN).
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