A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network

Wang, Y.S.; Shen, G.Q.; Xing, Yanfeng

doi:10.1016/j.ymssp.2013.11.001

Cited by 78 publications

(34 citation statements)

References 21 publications

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“…If they meet the setting accuracy, the neural network training learning is over. If not, then turn to step two to continue training study [7] [8].…”

Section: School Screenmentioning

confidence: 99%

Investment strategy of colleges based on BP neural network and optimization program

Chen¹,

Dai²,

Wang³

2016

Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

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Abstract:In this paper, a model to determine optimal investment strategy for foundation is introduced. Firstly, we preprocess the college data and classify, filter and fill the missing data with clustering analysis and regression method. Secondly, based on Back Propagation (BP) Neural Networks, a model of ROI was established. We find out the relationship between the variables and the comprehensive index. Thirdly, in order to obtain the maximum of ROI under fixed investment, an Optimization Model of fund allocation is built.

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“…If they meet the setting accuracy, the neural network training learning is over. If not, then turn to step two to continue training study [7] [8].…”

Section: School Screenmentioning

confidence: 99%

Investment strategy of colleges based on BP neural network and optimization program

Chen¹,

Dai²,

Wang³

2016

Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

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“…Many studies have therefore evaluated the sound quality in car cabins, considering sounds of the engine [4,5], doors closing [6,7], power windows [8][9][10], switch buttons [11], hard disk drives [12], heating, ventilation and air-conditioning [13][14][15], tires [16] and wind [17]. An objective sound quality evaluation model for the cabin noise of cars idling or moving at constant speed and cars accelerating and decelerating has been constructed on the basis of sound metrics used in psychoacoustics and an artificial neural network technique [18][19][20][21]. Dimensions of vehicle sound perception have been investigated by conducting an online survey [22].…”

Section: Introductionmentioning

confidence: 99%

An Exploratory Analysis of Sound Field Characteristics using the Impulse Response in a Car Cabin

Soeta

Sakamoto

2018

Environments

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Sound environments in cars are becoming quieter and receiving attention because of the prevalence of low-noise engines such as hybrid and electric engines and the manifestation of automated driving. Although the car cabin has potential as a listening space, its acoustic quality has not been examined in detail. The present study investigated sound field characteristics in the car cabin using acoustic parameters obtained by impulse response analysis. In particular, effects of the passenger position, open windows and the use of an air conditioner on acoustic parameters were investigated. The passenger position affected the sound strength at low frequencies. Rear seats, except for the rear central seat, had lower interaural correlation than the front seats, suggesting that rear seats have more diffused sound fields. The opening of windows and use of air conditioners attenuated the ratio of early-and late-arriving energy at high frequencies, suggesting a loss of clarity for music.

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“…MFCS design is the method developed based on the idea proposed by Wu, Wang and Okubo [20,21,24]. As is well known, time delays are inherent features of many physical processes, e. g., Chaos system [4,16], engine system [6] and electrical heater [5] and, biological system [8], environmental system [9], network system [22,25], etc. Many of these processes are also significantly nonlinear, which motivates the research into the control of nonlinear systems with time delays [2,6].…”

Section: Introductionmentioning

confidence: 99%

Model following control system with time delays

Wang¹,

Wu²,

Zhang³

et al. 2016

Kybernetika

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A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network

Cited by 78 publications

References 21 publications

Investment strategy of colleges based on BP neural network and optimization program

Investment strategy of colleges based on BP neural network and optimization program

An Exploratory Analysis of Sound Field Characteristics using the Impulse Response in a Car Cabin

Model following control system with time delays

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