Matches in SemOpenAlex for { <https://semopenalex.org/work/W3045900814> ?p ?o ?g. }
- W3045900814 endingPage "107493" @default.
- W3045900814 startingPage "107493" @default.
- W3045900814 abstract "The operational noise of electronic expansion valve (EEV) is the main component of noise source for the indoor unit of the air conditioner. The sound quality of EEV noise directly influences the consumer’s perceptions. Based on deep belief network (DBN) technique, an objective model has been conducted to evaluate the sound quality of EEV. Gaussian Restricted Boltzmann Machines (GRBM) provides the capability of modeling continuous data and has been used to develop a DBN model in this paper. The interior noise of 46 EEVs under working conditions were measured and corresponding subjective evaluation were implemented. A linear regression-based DBN (LR-DBN) is proposed with 6 psychoacoustic metrics and 26 Mel-frequency cepstral coefficients (MFCC) as input features. The performance of LR-DBN was validated against an ordinary DBN, a multiple linear regression (MLR) and a back-propagation neural network (BPNN). The results show that the LR-DBN has higher correlation coefficient and lower prediction error with human perception compared to the other considered methods. In addition, LR-DBN shows better stability than the other models. This present method may be a reliable approach for evaluating EEV sound." @default.
- W3045900814 created "2020-08-03" @default.
- W3045900814 creator A5037628562 @default.
- W3045900814 creator A5049337833 @default.
- W3045900814 date "2020-12-01" @default.
- W3045900814 modified "2023-09-27" @default.
- W3045900814 title "Sound quality evaluation of electronic expansion valve using Gaussian restricted Boltzmann machines based DBN" @default.
- W3045900814 cites W1976122958 @default.
- W3045900814 cites W1982116442 @default.
- W3045900814 cites W1985242443 @default.
- W3045900814 cites W1993882792 @default.
- W3045900814 cites W2014466475 @default.
- W3045900814 cites W2018194021 @default.
- W3045900814 cites W2036120793 @default.
- W3045900814 cites W2051441103 @default.
- W3045900814 cites W2053081445 @default.
- W3045900814 cites W2063922127 @default.
- W3045900814 cites W2083022762 @default.
- W3045900814 cites W2085423586 @default.
- W3045900814 cites W2086095766 @default.
- W3045900814 cites W2095111043 @default.
- W3045900814 cites W2099307227 @default.
- W3045900814 cites W2100495367 @default.
- W3045900814 cites W2104387086 @default.
- W3045900814 cites W2116064496 @default.
- W3045900814 cites W2136922672 @default.
- W3045900814 cites W2160815625 @default.
- W3045900814 cites W2166951028 @default.
- W3045900814 cites W222543348 @default.
- W3045900814 cites W2553567048 @default.
- W3045900814 cites W2562890671 @default.
- W3045900814 cites W2603538597 @default.
- W3045900814 cites W2621113646 @default.
- W3045900814 cites W2751333039 @default.
- W3045900814 cites W2765946851 @default.
- W3045900814 cites W2767547957 @default.
- W3045900814 cites W2789847315 @default.
- W3045900814 cites W2791672020 @default.
- W3045900814 cites W2793039588 @default.
- W3045900814 cites W2793096132 @default.
- W3045900814 cites W2802130013 @default.
- W3045900814 cites W2803023917 @default.
- W3045900814 cites W2805952016 @default.
- W3045900814 cites W2893815961 @default.
- W3045900814 cites W2896000505 @default.
- W3045900814 cites W2896894846 @default.
- W3045900814 cites W2897164504 @default.
- W3045900814 cites W2897844022 @default.
- W3045900814 cites W2898359605 @default.
- W3045900814 cites W2899622022 @default.
- W3045900814 cites W2901040608 @default.
- W3045900814 cites W2903096325 @default.
- W3045900814 cites W2941953835 @default.
- W3045900814 cites W2985660904 @default.
- W3045900814 cites W3008633314 @default.
- W3045900814 cites W945645259 @default.
- W3045900814 doi "https://doi.org/10.1016/j.apacoust.2020.107493" @default.
- W3045900814 hasPublicationYear "2020" @default.
- W3045900814 type Work @default.
- W3045900814 sameAs 3045900814 @default.
- W3045900814 citedByCount "8" @default.
- W3045900814 countsByYear W30459008142020 @default.
- W3045900814 countsByYear W30459008142021 @default.
- W3045900814 countsByYear W30459008142022 @default.
- W3045900814 countsByYear W30459008142023 @default.
- W3045900814 crossrefType "journal-article" @default.
- W3045900814 hasAuthorship W3045900814A5037628562 @default.
- W3045900814 hasAuthorship W3045900814A5049337833 @default.
- W3045900814 hasConcept C115961682 @default.
- W3045900814 hasConcept C151989614 @default.
- W3045900814 hasConcept C153180895 @default.
- W3045900814 hasConcept C154945302 @default.
- W3045900814 hasConcept C167310288 @default.
- W3045900814 hasConcept C192576344 @default.
- W3045900814 hasConcept C199354608 @default.
- W3045900814 hasConcept C28490314 @default.
- W3045900814 hasConcept C41008148 @default.
- W3045900814 hasConcept C50644808 @default.
- W3045900814 hasConcept C52622490 @default.
- W3045900814 hasConcept C61224824 @default.
- W3045900814 hasConcept C97385483 @default.
- W3045900814 hasConcept C99498987 @default.
- W3045900814 hasConceptScore W3045900814C115961682 @default.
- W3045900814 hasConceptScore W3045900814C151989614 @default.
- W3045900814 hasConceptScore W3045900814C153180895 @default.
- W3045900814 hasConceptScore W3045900814C154945302 @default.
- W3045900814 hasConceptScore W3045900814C167310288 @default.
- W3045900814 hasConceptScore W3045900814C192576344 @default.
- W3045900814 hasConceptScore W3045900814C199354608 @default.
- W3045900814 hasConceptScore W3045900814C28490314 @default.
- W3045900814 hasConceptScore W3045900814C41008148 @default.
- W3045900814 hasConceptScore W3045900814C50644808 @default.
- W3045900814 hasConceptScore W3045900814C52622490 @default.
- W3045900814 hasConceptScore W3045900814C61224824 @default.
- W3045900814 hasConceptScore W3045900814C97385483 @default.
- W3045900814 hasConceptScore W3045900814C99498987 @default.
- W3045900814 hasLocation W30459008141 @default.
- W3045900814 hasOpenAccess W3045900814 @default.