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This paper presents experimental adaptive identification and control of smart structures using neural networks based on system classification technique.
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Therefore, appropriate approach for the tunnel support design selected based on classification systems, numerical modelling, observation methods, and engineering judgment.
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Based on our classification system interventions were allocated to 16 different classes (see Fig. 1).
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