Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /

Thesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2012

Bibliographic Details
Main Author: Muhammad Safwan Ibrahim, 1989-
Format:
Language:eng
Published: 2012
Subjects:
_version_ 1826451454538285056
author Muhammad Safwan Ibrahim, 1989-
author_facet Muhammad Safwan Ibrahim, 1989-
author_sort Muhammad Safwan Ibrahim, 1989-
collection OCEAN
description Thesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2012
first_indexed 2024-03-05T12:09:25Z
format
id KOHA-OAI-TEST:473191
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T12:09:25Z
publishDate 2012
record_format dspace
spelling KOHA-OAI-TEST:4731912020-12-19T17:17:24ZApplication of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] / Muhammad Safwan Ibrahim, 1989- 2012engThesis (Sarjana Sains (Matematik)) - Universiti Teknologi Malaysia, 2012Includes bibliographical referencesPSZJBLTime-series analysisWater consumption
spellingShingle Time-series analysis
Water consumption
Muhammad Safwan Ibrahim, 1989-
Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title_full Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title_fullStr Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title_full_unstemmed Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title_short Application of ANFIS, ARIMA and hybrid models in water demand forecasting [electronic resource] /
title_sort application of anfis arima and hybrid models in water demand forecasting electronic resource
topic Time-series analysis
Water consumption
work_keys_str_mv AT muhammadsafwanibrahim1989 applicationofanfisarimaandhybridmodelsinwaterdemandforecastingelectronicresource