{"id":"https://openalex.org/W4379352342","doi":"https://doi.org/10.1145/3583788.3583797","title":"Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning","display_name":"Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4379352342","doi":"https://doi.org/10.1145/3583788.3583797"},"language":"en","primary_location":{"id":"doi:10.1145/3583788.3583797","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583788.3583797","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583788.3583797","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583788.3583797","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092085779","display_name":"Mercy K. Michira","orcid":"https://orcid.org/0000-0002-7556-5597"},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":true,"raw_author_name":"Mercy K. Michira","raw_affiliation_strings":["School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya"],"raw_orcid":"https://orcid.org/0000-0002-7556-5597","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051388166","display_name":"Richard Rimiru","orcid":"https://orcid.org/0000-0003-3190-1007"},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Richard M. Rimiru","raw_affiliation_strings":["School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya"],"raw_orcid":"https://orcid.org/0000-0003-3190-1007","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065332583","display_name":"Waweru Mwangi","orcid":"https://orcid.org/0000-0002-0278-0851"},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Waweru R. Mwangi","raw_affiliation_strings":["School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya"],"raw_orcid":"https://orcid.org/0000-0002-0278-0851","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Jomo Kenyatta university of Agriculture and Technology, Kenya","institution_ids":["https://openalex.org/I26805570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092085779"],"corresponding_institution_ids":["https://openalex.org/I26805570"],"apc_list":null,"apc_paid":null,"fwci":1.0814,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83418249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9911999702453613,"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/T12676","display_name":"Machine Learning and ELM","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.7766469120979309},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7506896257400513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7438040375709534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.60325688123703},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5898383855819702},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5656982660293579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5622473955154419},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4768296778202057},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.469104140996933},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.46315398812294006},{"id":"https://openalex.org/keywords/grasshopper","display_name":"Grasshopper","score":0.4592461585998535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38682135939598083}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.7766469120979309},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7506896257400513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7438040375709534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.60325688123703},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5898383855819702},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5656982660293579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5622473955154419},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4768296778202057},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.469104140996933},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.46315398812294006},{"id":"https://openalex.org/C2778575915","wikidata":"https://www.wikidata.org/wiki/Q18398431","display_name":"Grasshopper","level":2,"score":0.4592461585998535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38682135939598083},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583788.3583797","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583788.3583797","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583788.3583797","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583788.3583797","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583788.3583797","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583788.3583797","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379352342.pdf","grobid_xml":"https://content.openalex.org/works/W4379352342.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1529965533","https://openalex.org/W1788899996","https://openalex.org/W1980480036","https://openalex.org/W1982378700","https://openalex.org/W2021309800","https://openalex.org/W2134313658","https://openalex.org/W2156194072","https://openalex.org/W2255539840","https://openalex.org/W2399972537","https://openalex.org/W2529035713","https://openalex.org/W2546314413","https://openalex.org/W2587345921","https://openalex.org/W2810602437","https://openalex.org/W2911285567","https://openalex.org/W3011382651","https://openalex.org/W3011863796","https://openalex.org/W3107237154","https://openalex.org/W4233520916","https://openalex.org/W4300542644","https://openalex.org/W6607302558","https://openalex.org/W6727711208","https://openalex.org/W6752384857"],"related_works":["https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2076543106","https://openalex.org/W2083196709","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2023924986","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W4387048144"],"abstract_inverted_index":{"The":[0,77],"classification":[1],"accuracy":[2],"of":[3,13,26,55,72],"a":[4,30,64,93],"multi-layer":[5],"Perceptron":[6,57,74,81],"Neural":[7,58,75,82],"Networks":[8,83],"depends":[9],"on":[10,85],"the":[11,17,35,50,86],"selection":[12],"its":[14,112],"parameters":[15,28],"such":[16],"connection":[18,51],"weights":[19,52],"and":[20,53,96,111],"biases.":[21],"Generating":[22],"an":[23],"optimal":[24,110],"value":[25],"these":[27],"requires":[29],"suitable":[31],"algorithm":[32,47,62,67,95,98,100],"to":[33,103],"train":[34],"multilayer":[36],"perceptron":[37],"neural":[38],"networks.":[39],"This":[40],"paper":[41],"presents":[42],"swam":[43],"based":[44,84],"Grasshopper":[45,60,87],"optimization":[46,61],"that":[48],"optimizes":[49],"biases":[54],"Multilayer":[56,73,79],"Network.":[59],"is":[63],"swarm-based":[65],"metaheuristic":[66],"applied":[68],"for":[69],"accurate":[70],"learning":[71],"Networks.":[76],"proposed":[78],"Layer":[80],"Optimization":[88],"Algorithm":[89],"was":[90],"validated":[91],"using":[92],"Genetic":[94],"Backpropagation":[97],"this":[99],"has":[101],"proved":[102],"perform":[104],"satisfactorily":[105],"performance":[106],"by":[107],"escaping":[108],"local":[109],"fast":[113],"convergence.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}