http://scholars.ntou.edu.tw/handle/123456789/9013
Title: | Time series modeling of biochemical oxygen demand at the upstream catchment of Feitsui Reservoir, Taiwan |
Authors: | Yung-Chia Chiu Chih-Wei Chiang Tsung-Yu Lee |
Keywords: | ARTIFICIAL NEURAL-NETWORK;FUZZY INFERENCE SYSTEM;WATER-QUALITY;DISSOLVED-OXYGEN;RIVER;PREDICTION;PERFORMANCE;MANAGEMENT;BOD;INTELLIGENCE |
Issue Date: | 10-Jun-2016 |
Publisher: | IWA PUBLISHING |
Journal Volume: | 47 |
Journal Issue: | 5 |
Start page/Pages: | 1069-1085 |
Source: | HYDROL RES |
Abstract: | The adaptive neuro fuzzy inference system (ANFIS) has been proposed to model the time series of water quality data in this study. The biochemical oxygen demand data collected at the upstream catchment of Feitsui Reservoir in Taiwan for more than 20 years are selected as the target water quality variable. The classical statistical technique of the Box-Jenkins method is applied for the selection of ... |
URI: | http://scholars.ntou.edu.tw/handle/123456789/9013 |
ISSN: | 1998-9563 |
DOI: | 10.2166/nh.2016.136 |
Appears in Collections: | 地球科學研究所 06 CLEAN WATER & SANITATION 11 SUSTAINABLE CITIES & COMMUNITIES |
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