According to the authors of recent research published in the journal Intelligent Automation and Soft nComputing, "Based on the conception of bridge life and the traditional methods for evaluation of bridge nlife, in combination with the monitoring data obtained by bridge health monitoring system, this paper nproposes a novel research method for predicting life of the bridge structure based on one SVM pattern nrecognition. Key indicators of bridge life are firstly extracted from monitoring information."
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