Combined forecasting model of urban water consumption based on adaptive filtering and BP neural network

Ban, Fuchen; Wu, Dan; Hei, Yueming

doi:10.1504/ijshc.2018.095011

Cited by 4 publications

(2 citation statements)

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“…The results show that through the optimization of coefficients and the introduction of time series forecasting methods, the forecasting effect of the combined model is better than that of the single forecasting model. [16] A multi-random forest model is proposed to predict urban daily water consumption in Southwest China, and then model comparison and case analysis are used to verify the effectiveness of the model. [17] In addition, the gray prediction model has provided new ideas for solving prediction problems.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Qiao

Yang

2022

CLEAN Soil Air Water

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Human production activities and social development cannot be separated from the indispensable water resources. In recent years, with the increasing speed of China's economic development, the consumption of water resources has gradually become the focus of attention of the Chinese government and the public. Based on the original data of water use of 31 provinces (municipalities and autonomous regions) in China from 2014 to 2018, a fractional order accumulative gray prediction model (FGM(1,1)) is established to predict the water use of 31 provinces (municipalities and autonomous regions) in China in the short term, and the applicability of the model is verified by the mean absolute percentage error (MAPE) value. According to the MAPE value, the data obtained by the FGM(1,1) model is relatively accurate. The prediction results show that in case of little change in total water consumption, agricultural water and industrial water use show a downward trend, while domestic water use shows an upward trend. The government's water management policy for urban residents needs to be adjusted, and the publicity work to improve the water-saving awareness of urban residents needs to be improved.

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Section: Introductionmentioning

confidence: 99%

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Qiao

Yang

2022

CLEAN Soil Air Water

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“…In recent years artificial intelligence has come into wide use in various fields [1,2,7,12,13,17,19]. Artificial intelligence currently encompasses a huge variety of subfields, ranging from the general learning and perception to the specific, such as playing chess, proving mathematical theorems, writing poetry, driving a car on a crowded street, and diagnosing diseases.…”

Section: Introductionmentioning

confidence: 99%

Real-time Informatized caption enhancement based on speaker pronunciation time database

Choi

Kang

Joo

et al. 2020

Multimed Tools Appl

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IBM Watson is one of the representative tools for speech recognition system which can automatically generate not only speech-to-text information but also speaker ID and timing information, which is called as Informatized Caption. However, if there is some noise in the voice signal to the IBM Watson API, the recognition performance is significantly decreased. It can be easily found in movies with background music and special sound effects. This paper aims to improve the inaccuracy problem of current Informatized Captions in noisy environments. In this paper, a method of modifying incorrectly recognized words and a method of enhancing timing accuracy while updating database in real time are suggested based on the original caption and Informatized Caption information. Experimental results shows that the proposed method can give 81.09% timing accuracy for the case of 10 representative animation, horror and action movies.

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Context-adaptive blocking for protecting personal information exposed to social multimedia content

Ahn

Jang

2020

Multimed Tools Appl

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Combined forecasting model of urban water consumption based on adaptive filtering and BP neural network

Cited by 4 publications

References 0 publications

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Prediction of Water Consumption in 31 Provinces of China Based on FGM(1,1) Model

Real-time Informatized caption enhancement based on speaker pronunciation time database

Context-adaptive blocking for protecting personal information exposed to social multimedia content

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