Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia
The research is conducted to improve the accuracy of water consumption prediction and grasp the proportion of water consumption in various industries.Therefore,a model coupling correlation analysis and multi-layer perceptron (MLP) neural networks is proposed to predict the water consumption of indus...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Pearl River
2022-01-01
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| Series: | Renmin Zhujiang |
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| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.08.011 |
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| _version_ | 1841535865958957056 |
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| author | DOU Miao LI Jinyan CUI Lanbo WEI Yimin SU Huiyan LI Chaochao |
| author_facet | DOU Miao LI Jinyan CUI Lanbo WEI Yimin SU Huiyan LI Chaochao |
| author_sort | DOU Miao |
| collection | DOAJ |
| description | The research is conducted to improve the accuracy of water consumption prediction and grasp the proportion of water consumption in various industries.Therefore,a model coupling correlation analysis and multi-layer perceptron (MLP) neural networks is proposed to predict the water consumption of industries.In this model,correlation analysis is used to select factors that have a great impact on the water consumption of industries,and then the data of the main factors is input into the neural network model to predict the water consumption of industries.Taking the Ningxia Hui Autonomous Region in the arid region as an example,we extract the main factors affecting the water consumption of industries from 2002 to 2016 to train a prediction model and use this model to predict the water consumption from 2017 to 2020 for prediction accuracy verification.The prediction results reveal that the average value of the multi-year relative error between the predicted value of total water consumption and the actual value is only 0.93%.Finally,the coupling model is applied to predict the water consumption of industries in the target year of 2025 in the plan of Ningxia.The prediction results show that the total water consumption will decline in 2025,and this trend of change is consistent with the autonomous regions policy of vigorously promoting the construction of a water-saving society in recent years. |
| format | Article |
| id | doaj-art-7c2ed4a9531c464cbd33200235dcb5ff |
| institution | Kabale University |
| issn | 1001-9235 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Pearl River |
| record_format | Article |
| series | Renmin Zhujiang |
| spelling | doaj-art-7c2ed4a9531c464cbd33200235dcb5ff2025-01-15T02:26:19ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352022-01-014347643241Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in NingxiaDOU MiaoLI JinyanCUI LanboWEI YiminSU HuiyanLI ChaochaoThe research is conducted to improve the accuracy of water consumption prediction and grasp the proportion of water consumption in various industries.Therefore,a model coupling correlation analysis and multi-layer perceptron (MLP) neural networks is proposed to predict the water consumption of industries.In this model,correlation analysis is used to select factors that have a great impact on the water consumption of industries,and then the data of the main factors is input into the neural network model to predict the water consumption of industries.Taking the Ningxia Hui Autonomous Region in the arid region as an example,we extract the main factors affecting the water consumption of industries from 2002 to 2016 to train a prediction model and use this model to predict the water consumption from 2017 to 2020 for prediction accuracy verification.The prediction results reveal that the average value of the multi-year relative error between the predicted value of total water consumption and the actual value is only 0.93%.Finally,the coupling model is applied to predict the water consumption of industries in the target year of 2025 in the plan of Ningxia.The prediction results show that the total water consumption will decline in 2025,and this trend of change is consistent with the autonomous regions policy of vigorously promoting the construction of a water-saving society in recent years.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.08.011correlation analysismulti-layer perceptron neural networkcoupling modelwater consumption predictionNingxia Hui Autonomous Region |
| spellingShingle | DOU Miao LI Jinyan CUI Lanbo WEI Yimin SU Huiyan LI Chaochao Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia Renmin Zhujiang correlation analysis multi-layer perceptron neural network coupling model water consumption prediction Ningxia Hui Autonomous Region |
| title | Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia |
| title_full | Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia |
| title_fullStr | Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia |
| title_full_unstemmed | Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia |
| title_short | Application of Correlation Analysis-Neural Network Model in Water Consumption Prediction in Ningxia |
| title_sort | application of correlation analysis neural network model in water consumption prediction in ningxia |
| topic | correlation analysis multi-layer perceptron neural network coupling model water consumption prediction Ningxia Hui Autonomous Region |
| url | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.08.011 |
| work_keys_str_mv | AT doumiao applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia AT lijinyan applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia AT cuilanbo applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia AT weiyimin applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia AT suhuiyan applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia AT lichaochao applicationofcorrelationanalysisneuralnetworkmodelinwaterconsumptionpredictioninningxia |