{"id":"https://openalex.org/W2796421863","doi":"https://doi.org/10.1142/s0219649218500168","title":"Non-Dominated Sorting Genetic Algorithm-II-Induced Neural-Supported Prediction of Water Quality with Stability Analysis","display_name":"Non-Dominated Sorting Genetic Algorithm-II-Induced Neural-Supported Prediction of Water Quality with Stability Analysis","publication_year":2018,"publication_date":"2018-04-02","ids":{"openalex":"https://openalex.org/W2796421863","doi":"https://doi.org/10.1142/s0219649218500168","mag":"2796421863"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649218500168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649218500168","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029309294","display_name":"Sankhadeep Chatterjee","orcid":"https://orcid.org/0000-0002-3930-4699"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sankhadeep Chatterjee","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, University of Calcutta, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112358540","display_name":"Sarbartha Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarbartha Sarkar","raw_affiliation_strings":["Department of Mining Engineering, Indian Institute of Technology, (Indian School of Mines), Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Mining Engineering, Indian Institute of Technology, (Indian School of Mines), Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000975435","display_name":"Nilanjan Dey","orcid":"https://orcid.org/0000-0001-8437-498X"},"institutions":[{"id":"https://openalex.org/I1288043984","display_name":"Techno India University","ror":"https://ror.org/00v1y6t69","country_code":"IN","type":"education","lineage":["https://openalex.org/I1288043984"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilanjan Dey","raw_affiliation_strings":["Department of Information Technology, Techno India College of Technology, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Techno India College of Technology, Kolkata, India","institution_ids":["https://openalex.org/I1288043984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080702284","display_name":"Soumya Sen","orcid":"https://orcid.org/0000-0002-9178-6410"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya Sen","raw_affiliation_strings":["A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029309294"],"corresponding_institution_ids":["https://openalex.org/I106542073"],"apc_list":null,"apc_paid":null,"fwci":0.9334,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75673825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"02","first_page":"1850016","last_page":"1850016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6586797833442688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114916205406189},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6104634404182434},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6004073619842529},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5978878736495972},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5785616636276245},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5602359771728516},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5032398104667664},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4325036406517029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4233737587928772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42289143800735474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41323503851890564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38502752780914307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22630038857460022},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19376596808433533},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13138628005981445}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6586797833442688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114916205406189},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6104634404182434},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6004073619842529},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5978878736495972},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5785616636276245},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5602359771728516},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5032398104667664},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4325036406517029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4233737587928772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42289143800735474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41323503851890564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38502752780914307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22630038857460022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19376596808433533},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13138628005981445},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649218500168","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649218500168","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:17:y:2018:i:02:n:s0219649218500168","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649218500168","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.8600000143051147,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W783341876","https://openalex.org/W1595498733","https://openalex.org/W1809873675","https://openalex.org/W1941659294","https://openalex.org/W1987326707","https://openalex.org/W1988301066","https://openalex.org/W2030644393","https://openalex.org/W2036713095","https://openalex.org/W2037039518","https://openalex.org/W2051812123","https://openalex.org/W2077884493","https://openalex.org/W2079019836","https://openalex.org/W2109553965","https://openalex.org/W2110659306","https://openalex.org/W2126105956","https://openalex.org/W2150046657","https://openalex.org/W2157543243","https://openalex.org/W2168025622","https://openalex.org/W2292633882","https://openalex.org/W2337558443","https://openalex.org/W2402790922","https://openalex.org/W2476962629","https://openalex.org/W2547150242","https://openalex.org/W2580920386","https://openalex.org/W2592982295","https://openalex.org/W2618679489","https://openalex.org/W2761207182","https://openalex.org/W2767094092","https://openalex.org/W2789478670","https://openalex.org/W4234406933","https://openalex.org/W4241855287","https://openalex.org/W4250503569"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W3006936859","https://openalex.org/W1987040457","https://openalex.org/W2378502887","https://openalex.org/W2184492720","https://openalex.org/W4382982879","https://openalex.org/W2013466861","https://openalex.org/W4311044000"],"abstract_inverted_index":{"Water":[0],"is":[1,28,210],"one":[2],"of":[3,21,88,101,189,216,226],"the":[4,22,46,56,68,99,102,106,118,141,155,160,214,217,229],"most":[5],"important":[6],"necessities":[7],"for":[8,159],"human":[9],"survival.":[10],"In":[11,105],"municipal":[12],"corporation":[13],"areas,":[14],"water":[15,26,38,48,69,83],"quality":[16,25,39,49,70],"affects":[17],"a":[18,205],"large":[19],"part":[20],"population.":[23],"Good":[24],"supply":[27],"an":[29,42],"imperative":[30],"parameter":[31],"that":[32],"influences":[33],"individuals\u2019":[34],"health.":[35],"Automated":[36],"accurate":[37],"determination":[40],"becomes":[41],"urgent":[43],"necessity.":[44],"Detecting":[45],"drinking":[47],"can":[50],"prevent":[51],"such":[52],"scenarios":[53],"prior":[54],"to":[55,81,93,116,123,153,212],"critical":[57],"stage.":[58],"Recent":[59],"research":[60],"works":[61],"have":[62],"achieved":[63],"reasonable":[64],"success":[65],"in":[66,97,151,187],"predicting":[67],"by":[71],"deploying":[72],"several":[73],"machine":[74],"learning-based":[75],"techniques":[76],"and":[77,147,179,200],"utilising":[78],"different":[79,137],"aspects":[80],"analyse":[82],"quality.":[84],"The":[85,131,162,220],"accuracy":[86,225],"levels":[87],"already":[89],"proposed":[90,132,163,211,218],"models":[91,171],"are":[92],"be":[94],"improved,":[95],"keeping":[96],"mind":[98],"sensitivity":[100],"problem":[103],"domain.":[104],"current":[107],"work,":[108],"Non-dominated":[109],"Sorting":[110],"Genetic":[111,176],"Algorithm-II":[112],"(NN-NSGA-II)":[113],"was":[114,165],"employed":[115],"train":[117],"artificial":[119],"neural":[120],"network":[121],"(ANN)":[122],"improve":[124],"its":[125,128],"performance":[126],"over":[127,228],"traditional":[129],"counterparts.":[130],"model":[133,164],"gradually":[134],"minimises":[135],"two":[136,169],"objective":[138],"functions,":[139],"namely":[140,172],"root":[142],"mean":[143],"square":[144],"error":[145],"(RMSE)":[146],"Maximum":[148],"Error":[149],"(ME)":[150],"order":[152],"find":[154],"optimal":[156],"weight":[157],"vector":[158],"ANN.":[161],"compared":[166],"with":[167,175,182],"another":[168],"well-established":[170],"ANN":[173,180],"trained":[174,181],"Algorithm":[177],"(NN-GA)":[178],"Particle":[183],"Swarm":[184],"Optimisation":[185],"(NN-PSO)":[186],"terms":[188],"accuracy,":[190],"precision,":[191],"recall,":[192],"[Formula:":[193],"see":[194],"text]-Measure,":[195],"Matthews":[196],"correlation":[197],"coefficient":[198],"(MCC)":[199],"Fowlkes\u2013Mallows":[201],"(FM)":[202],"index.":[203],"Furthermore,":[204],"data":[206],"perturbation-based":[207],"stability":[208,215],"analysis":[209],"test":[213],"method.":[219],"simulation":[221],"results":[222],"established":[223],"superior":[224],"NN-NSGA-II":[227],"other":[230],"models.":[231]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
