{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T20:01:24Z","timestamp":1760731284023,"version":"3.41.2"},"reference-count":37,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T00:00:00Z","timestamp":1574726400000},"content-version":"vor","delay-in-days":329,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41977300","41907297"],"award-info":[{"award-number":["41977300","41907297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016A030306033"],"award-info":[{"award-number":["2016A030306033"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007162","name":"Guangdong Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["2017B030314057"],"award-info":[{"award-number":["2017B030314057"]}],"id":[{"id":"10.13039\/501100007162","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004000","name":"Guangzhou Municipal Science and Technology Program key projects","doi-asserted-by":"publisher","award":["907224176081"],"award-info":[{"award-number":["907224176081"]}],"id":[{"id":"10.13039\/501100004000","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>The anaerobic treatment process is a complicated multivariable system that is nonlinear and time varying. Moreover, biogas production rates are an important indicator for reflecting operational performance of the anaerobic treatment system. In this work, a novel model fuzzy wavelet neural network based on the genetic algorithm (GA\u2010FWNN) that combines the advantages of the genetic algorithm, fuzzy logic, neural network, and wavelet transform was established for prediction of effluent quality and biogas production rates in a full\u2010scale anaerobic wastewater treatment process. Moreover, the dataset was preprocessed via a self\u2010adapted fuzzy c\u2010means clustering before training the network and a hybrid algorithm for acquiring the optimal parameters of the multiscale GA\u2010FWNN for improving the network precision. The analysis results indicate that the FWNN with the optimal algorithm had a high speed of convergence and good quality of prediction, and the FWNN model was more advantageous than the traditional intelligent coupling models (NN, WNN, and FNN) in prediction accuracy and robustness. The determination coefficients <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup> of the FWNN models for predicting both the effluent quality and biogas production rates were over 0.95. The proposed model can be used for analyzing both biogas (methane) production rates and effluent quality over the operational time period, which plays an important role in saving energy and eliminating pollutant discharge in the wastewater treatment system.<\/jats:p>","DOI":"10.1155\/2019\/2468189","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T23:41:26Z","timestamp":1574811686000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Novel Model with GA Evolving FWNN for Effluent Quality and Biogas Production Forecast in a Full\u2010Scale Anaerobic Wastewater Treatment Process"],"prefix":"10.1155","volume":"2019","author":[{"given":"Zehua","family":"Huang","sequence":"first","affiliation":[]},{"given":"Renren","family":"Wu","sequence":"additional","affiliation":[]},{"given":"XiaoHui","family":"Yi","sequence":"additional","affiliation":[]},{"given":"Hongbin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jiannan","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Guoqiang","family":"Niu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2592-3544","authenticated-orcid":false,"given":"Mingzhi","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Guangguo","family":"Ying","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemosphere.2018.11.024"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2011.02.015"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.envpol.2019.05.062"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00449-007-0131-2"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0952-1976(03)00062-9"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhazmat.2010.06.054"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/jctb.4568"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biombioe.2006.06.013"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2015.07.016"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-013-2243-3"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.procbio.2011.04.002"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2014.05.021"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.08.024"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-014-1752-4"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biortech.2011.06.046"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiotec.2009.08.014"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biortech.2014.03.074"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.05.063"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.05.006"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.01.035"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1021\/ie1015552"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.12.026"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-014-3976-3"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biortech.2009.04.049"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1080\/10934529.2016.1221216"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biortech.2011.01.085"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.10.030"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.556-562.3168"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2015.08.010"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/8241342"},{"volume-title":"American Public Health Association. Standard Methods for the Examination of Water and Wastewater","year":"2005","author":"Federation W. E.","key":"e_1_2_9_31_2"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1080\/10934529.2018.1530539"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.parco.2015.02.002"},{"key":"e_1_2_9_34_2","doi-asserted-by":"publisher","DOI":"10.1038\/srep41239"},{"key":"e_1_2_9_35_2","doi-asserted-by":"publisher","DOI":"10.1021\/ie201296p"},{"key":"e_1_2_9_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2011.05.027"},{"key":"e_1_2_9_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2016.10.056"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/2468189.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/2468189.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2019\/2468189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T12:22:37Z","timestamp":1723033357000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2019\/2468189"}},"subtitle":[],"editor":[{"given":"Ra\u00fal","family":"Ba\u00f1os","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["10.1155\/2019\/2468189"],"URL":"https:\/\/doi.org\/10.1155\/2019\/2468189","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"2019-05-24","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-08-29","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-11-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2468189"}}