基于自适应神经模糊推理系统的水量预测

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT) Pub Date : 2018-11-01 DOI:10.1109/EIConCIT.2018.8878549

Sayyidah Hafidhatul Ilmi, A. N. Handayani, A. Wibawa

{"title":"基于自适应神经模糊推理系统的水量预测","authors":"Sayyidah Hafidhatul Ilmi, A. N. Handayani, A. Wibawa","doi":"10.1109/EIConCIT.2018.8878549","DOIUrl":null,"url":null,"abstract":"Water is essential for human life. Regional Water Supplier piping system may provide clean water for people. The company may need a forecasting system to estimate the water production. This paper implemented an Adaptive Neuro-Fuzzy Inference System (ANFIS) with hybrid learning: Least Square Estimator method and Error Backpropagation methods. The dataset used Generalized Bell membership function and clustered by Fuzzy C-Means (FCM). The selected approach produced 0.364% MAPE error value.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Water Production Forecasting using Adaptive Neuro-Fuzzy Inference System\",\"authors\":\"Sayyidah Hafidhatul Ilmi, A. N. Handayani, A. Wibawa\",\"doi\":\"10.1109/EIConCIT.2018.8878549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Water is essential for human life. Regional Water Supplier piping system may provide clean water for people. The company may need a forecasting system to estimate the water production. This paper implemented an Adaptive Neuro-Fuzzy Inference System (ANFIS) with hybrid learning: Least Square Estimator method and Error Backpropagation methods. The dataset used Generalized Bell membership function and clustered by Fuzzy C-Means (FCM). The selected approach produced 0.364% MAPE error value.\",\"PeriodicalId\":424909,\"journal\":{\"name\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConCIT.2018.8878549\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

水是人类生存所必需的。区域供水管道系统可为人们提供清洁用水。该公司可能需要一个预测系统来估计产水量。本文采用最小二乘估计和误差反向传播混合学习方法实现了自适应神经模糊推理系统。数据集采用广义贝尔隶属函数，并采用模糊c均值聚类。所选方法的MAPE误差值为0.364%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Water Production Forecasting using Adaptive Neuro-Fuzzy Inference System

Water is essential for human life. Regional Water Supplier piping system may provide clean water for people. The company may need a forecasting system to estimate the water production. This paper implemented an Adaptive Neuro-Fuzzy Inference System (ANFIS) with hybrid learning: Least Square Estimator method and Error Backpropagation methods. The dataset used Generalized Bell membership function and clustered by Fuzzy C-Means (FCM). The selected approach produced 0.364% MAPE error value.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)

自引率

0.00%

发文量