{"id":"https://openalex.org/W2139081531","doi":"https://doi.org/10.5897/ajar11.1256","title":"Modelling of a locally fabricated flat-plate solar milk pasteuriser using artificial neural network","display_name":"Modelling of a locally fabricated flat-plate solar milk pasteuriser using artificial neural network","publication_year":2013,"publication_date":"2013-03-31","ids":{"openalex":"https://openalex.org/W2139081531","doi":"https://doi.org/10.5897/ajar11.1256","mag":"2139081531"},"language":"en","primary_location":{"id":"mag:2139081531","doi":"https://doi.org/10.5897/ajar11.1256","is_oa":true,"landing_page_url":"http://erepository.uonbi.ac.ke/handle/11295/32069","pdf_url":null,"source":{"id":"https://openalex.org/S44429004","display_name":"African Journal of Agricultural Research","issn_l":"1991-637X","issn":["1991-637X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310321074","host_organization_name":"Academic Journals","host_organization_lineage":["https://openalex.org/P4310321074"],"host_organization_lineage_names":["Academic Journals"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"African Journal of Agricultural Research","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://erepository.uonbi.ac.ke/handle/11295/32069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111180552","display_name":"Francis Obuoro Wayua","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francis O. Wayua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074543463","display_name":"MICHAEL WANDAYI OKOTH","orcid":"https://orcid.org/0000-0002-6253-2809","observed_orcids":["https://orcid.org/0000-0002-6253-2809","https://orcid.org/0000-0002-6927-7134"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael W. Okoth","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6253-2809","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015130907","display_name":"John Wangoh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Wangoh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1291,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52666482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"8","issue":"9","first_page":"741","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.019099999219179153,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/milk-pasteurization","display_name":"milk pasteurization","score":0.7639999985694885},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6269999742507935},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.8379999995231628},{"id":"https://openalex.org/keywords/solar-thermal-collectors","display_name":"solar thermal collectors","score":0.5609999895095825},{"id":"https://openalex.org/keywords/ambient-temperature","display_name":"ambient temperature","score":0.746999979019165},{"id":"https://openalex.org/keywords/solar-radiation","display_name":"solar radiation","score":0.9869999885559082},{"id":"https://openalex.org/keywords/wind-speed","display_name":"wind speed","score":0.8610000014305115},{"id":"https://openalex.org/keywords/hot-water-temperature","display_name":"hot water temperature","score":0.6949999928474426},{"id":"https://openalex.org/keywords/water-flow-rate","display_name":"water flow rate","score":0.9729999899864197}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8337514996528625},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.7350709438323975},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6375012397766113},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.5993699431419373},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.49030664563179016},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4473315477371216},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.42083457112312317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37886321544647217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3101487159729004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2927471399307251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24779486656188965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18414348363876343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18412268161773682},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2139081531","doi":"https://doi.org/10.5897/ajar11.1256","is_oa":true,"landing_page_url":"http://erepository.uonbi.ac.ke/handle/11295/32069","pdf_url":null,"source":{"id":"https://openalex.org/S44429004","display_name":"African Journal of Agricultural Research","issn_l":"1991-637X","issn":["1991-637X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310321074","host_organization_name":"Academic Journals","host_organization_lineage":["https://openalex.org/P4310321074"],"host_organization_lineage_names":["Academic Journals"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"African Journal of Agricultural Research","raw_type":null}],"best_oa_location":{"id":"mag:2139081531","doi":"https://doi.org/10.5897/ajar11.1256","is_oa":true,"landing_page_url":"http://erepository.uonbi.ac.ke/handle/11295/32069","pdf_url":null,"source":{"id":"https://openalex.org/S44429004","display_name":"African Journal of Agricultural Research","issn_l":"1991-637X","issn":["1991-637X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310321074","host_organization_name":"Academic Journals","host_organization_lineage":["https://openalex.org/P4310321074"],"host_organization_lineage_names":["Academic Journals"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"African Journal of Agricultural Research","raw_type":null},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8485000133514404},{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8409000039100647}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1593823536","https://openalex.org/W1985981105","https://openalex.org/W2001670254","https://openalex.org/W2011930321","https://openalex.org/W2028070629","https://openalex.org/W2134244062","https://openalex.org/W2156115056"],"related_works":["https://openalex.org/W3099153732","https://openalex.org/W2799535451","https://openalex.org/W7163755312","https://openalex.org/W4317825462","https://openalex.org/W2084389364","https://openalex.org/W4283815837","https://openalex.org/W2957564760","https://openalex.org/W4389889303","https://openalex.org/W2232915279","https://openalex.org/W4297237540"],"abstract_inverted_index":{"The":[0,53,86,99],"objective":[1],"of":[2,17,27,55,67,82,118,121,141,144],"this":[3],"work":[4],"was":[5,44,80],"to":[6,13],"develop":[7],"an":[8],"artificial":[9,131],"neural":[10,36,88,100,132,153],"network":[11,37,89,101,133],"model":[12,38,57,90],"predict":[14],"milk":[15,22,83,149,157],"temperature":[16,66,81],"a":[18,92,145],"locally":[19,146],"fabricated":[20,147],"solar":[21,62,148,156],"pasteuriser,":[23],"based":[24,39],"on":[25,40],"measures":[26],"error":[28,114],"deviation":[29],"from":[30],"experimental":[31,106],"data.":[32],"A":[33],"three-layer":[34],"feed-forward":[35],"back":[41],"propagation":[42],"algorithm":[43],"developed":[45],"using":[46],"the":[47,56,75,78,139,142],"Neural":[48],"Network":[49],"Toolbox":[50],"for":[51,138],"MATLAB\u00ae.":[52],"inputs":[54],"were":[58],"ambient":[59],"air":[60],"temperature,":[61],"radiation,":[63],"wind":[64],"speed,":[65],"hot":[68],"water,":[69],"and":[70,115,124],"water":[71],"flow":[72],"rate":[73],"through":[74],"collector,":[76],"whereas":[77],"output":[79],"being":[84],"pasteurised.":[85],"optimal":[87],"had":[91],"4-4-1":[93],"structure":[94],"with":[95,105,108],"sigmoid":[96],"transfer":[97],"function.":[98],"predictions":[102],"agreed":[103],"well":[104],"values":[107],"mean":[109,112],"squared":[110],"error,":[111],"relative":[113],"correlation":[116],"coefficient":[117],"determination":[119],"(R2)":[120],"5.22\u00b0C,":[122],"3.71%":[123],"0.89,":[125],"respectively.":[126],"These":[127],"results":[128],"indicate":[129],"that":[130],"can":[134],"successfully":[135],"be":[136],"used":[137],"prediction":[140],"performance":[143],"pasteuriser.\r\n\r\n\t\u00a0\r\n\r\n\tKey":[150],"words:":[151],"Artificial":[152],"network,":[154],"modelling,":[155],"pasteuriser.":[158]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}