Steady-State Inference in Performance Tests of Refrigeration Compressors Using ANN Ensemble

Abstract : The use of ensembles is an important way to ensure reliability of ANN-based tools. This article presents the development of an ANNs ensemble to infer steady-state in performance tests related to refrigeration compressors. Practical results are presented about the performance of individual ANNs and the ensemble. ANNs accuracy and diversity are discussed and evaluated.
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Richard Chbeir; Yannis Manolopoulos; Ilias Maglogiannis; Reda Alhajj. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. IFIP Advances in Information and Communication Technology, AICT-458, pp.369-379, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_26〉
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Dernière modification le : vendredi 1 décembre 2017 - 01:16:45

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Cesar Penz, Carlos Flesch, João Rossetto. Steady-State Inference in Performance Tests of Refrigeration Compressors Using ANN Ensemble. Richard Chbeir; Yannis Manolopoulos; Ilias Maglogiannis; Reda Alhajj. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. IFIP Advances in Information and Communication Technology, AICT-458, pp.369-379, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_26〉. 〈hal-01385372〉

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