{"id":"https://openalex.org/W3016599243","doi":null,"title":"Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal","display_name":"Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W3016599243","mag":"3016599243"},"language":"en","primary_location":{"id":"pmh:oai:studentsrepo.um.edu.my:11091","doi":null,"is_oa":false,"landing_page_url":"http://studentsrepo.um.edu.my/11091/1/camelia_Mohd_Kamal.pdf","pdf_url":"http://studentsrepo.um.edu.my/11091/1/camelia_Mohd_Kamal.pdf","source":{"id":"https://openalex.org/S4406922526","display_name":"University of Malaya Students Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"parent_works":[],"lineage":["https://openalex.org/W3016599243"],"child_works_count":0,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5051793913","display_name":"Mohd Kamal Camellia","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohd Kamal Camellia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5051793913"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14216","display_name":"Multimedia Learning Systems","score":0.7348999977111816,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14216","display_name":"Multimedia Learning Systems","score":0.7348999977111816,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14496","display_name":"Educational Technology and E-Learning","score":0.033399999141693115,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.03319999948143959,"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/neural-network","display_name":"artificial neural networks","score":0.9929999709129333},{"id":"https://openalex.org/keywords/perceptron","display_name":"perceptron","score":0.6570000052452087},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.878000020980835},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9750000238418579},{"id":"https://openalex.org/keywords/self-organizing-maps","display_name":"self-organizing maps","score":0.9950000047683716},{"id":"https://openalex.org/keywords/biological-neuron-models","display_name":"biological neuron models","score":0.7360000014305115},{"id":"https://openalex.org/keywords/hypermedia-learning","display_name":"hypermedia learning","score":0.5569999814033508},{"id":"https://openalex.org/keywords/macromedia-flash-mx","display_name":"Flash MX","score":0.7839999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582670450210571},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.635718584060669},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.594637930393219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5596811771392822},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4803544282913208},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4704686105251312},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24285930395126343},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:studentsrepo.um.edu.my:11091","doi":null,"is_oa":false,"landing_page_url":"http://studentsrepo.um.edu.my/11091/1/camelia_Mohd_Kamal.pdf","pdf_url":"http://studentsrepo.um.edu.my/11091/1/camelia_Mohd_Kamal.pdf","source":{"id":"https://openalex.org/S4406922526","display_name":"University of Malaya Students Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:3016599243","doi":null,"is_oa":false,"landing_page_url":"http://studentsrepo.um.edu.my/11091/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4156000018119812,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2128495057","https://openalex.org/W7095525842","https://openalex.org/W6885175094","https://openalex.org/W3146164938","https://openalex.org/W4239299623","https://openalex.org/W7099743530","https://openalex.org/W2073730966","https://openalex.org/W7097837158","https://openalex.org/W3140361216","https://openalex.org/W2168268735"],"abstract_inverted_index":{"Interactive":[0],"Learning":[1],"Package":[2],"for":[3,94],"Artificial":[4,141],"Neural":[5,142],"Network":[6,148],"(Demonstration":[7],"Module)":[8],"is":[9,113,277,285,322],"a":[10,43,280],"learning":[11,88,134],"package":[12],"that":[13,77,176,260,321,329],"allow":[14],"the":[15,21,24,34,49,56,70,74,78,83,91,95,100,103,108,121,124,138,160,173,196,213,230,241,268,295,305,318,325,333,337],"users":[16,71],"to":[17,61,263,273,331,335],"learn":[18,336],"and":[19,31,45,58,149,205,220,234,246,294,301,310,328,339],"enhance":[20],"understanding":[22],"of":[23,99,123,140,194,203,226,289,307],"ANN":[25],"subject":[26],"in":[27,33,87,132,267,287],"more":[28,53],"detailed":[29],"way":[30],"apply":[32],"demonstration":[35,38,57,67,96,109,319],"parts.":[36],"Every":[37,111],"will":[39,129,157,211,316],"be":[40,130,212],"followed":[41],"by":[42,324],"brief":[44],"compact":[46],"explanation":[47,84],"therefore":[48],"user":[50,79],"can":[51,119],"understand":[52],"clearly":[54],"about":[55,159],"know":[59,81,120],"hoe":[60],"do":[62],"it":[63,302],"very":[64],"well.":[65],"The":[66,154,249,283],"module":[68],"provides":[69],"only":[72],"with":[73,163,170,183,190,199,223,342],"important":[75],"notes":[76],"must":[80],"because":[82,115],"already":[85],"described":[86],"modules.":[89],"For":[90,208,229],"tutorial":[92],"questions,":[93],"modules":[97],"most":[98],"question":[101,112],"are":[102,137,240,251],"calculation":[104],"format":[105],"based":[106],"on":[107,304],"example.":[110],"related":[114],"from":[116],"there":[117,210,239],"we":[118],"levek":[122],"user.":[125],"Five":[126],"main":[127],"topics":[128],"discussed":[131],"this":[133,275],"Package,":[135],"which":[136],"Introduction":[139],"Network,":[143],"Perceptron,":[144],"Feed":[145,231],"Forward,":[146,232],"Recurrent":[147,233],"Self":[150,235],"Organizing":[151,236],"Maps":[152],"(SOM).":[153],"introduction":[155],"topic":[156],"discuss":[158],"biological":[161],"neuron":[162,174,182,204],"one":[164,171,184,191,224],"demo,":[165,172,185,192],"directed":[166,186],"graph":[167,187],"description":[168,188],"also":[169,189,257],"model":[175],"included":[177,252],"three":[178],"subtopic;":[179],"single":[180],"input":[181],"architecture":[193],"all":[195],"network":[197,292],"layers":[198],"two":[200],"subtopics":[201],"Layer":[202],"multiplayer":[206],"neuron.":[207],"Perception":[209],"Description":[214],"Neuron":[215,242],"Model,":[216,243],"Perceptron":[217],"Basic":[218,244],"Architecture":[219,245],"perceptron":[221],"Algorithm":[222],"example":[225],"solved":[227],"problem.":[228],"Map":[237],"Networks":[238],"Training":[247],"Algorithm.":[248],"demonstrations":[250],"each":[253],"every":[254],"topic.":[255],"It":[256],"has":[258],"glossary":[259],"gives":[261],"sense":[262],"certain":[264],"new":[265],"words":[266],"next.":[269],"In":[270],"providing":[271],"convenience":[272],"users,":[274],"system":[276,284,315],"developed":[278],"as":[279],"stand-alone":[281],"application.":[282],"built-up":[286],"convergence":[288],"artificial":[290],"neural":[291],"concepts":[293,340],"latest":[296],"available":[297],"Macromedia":[298],"Flash":[299],"MX":[300],"runs":[303],"requirement":[306],"Windows":[308],"98":[309],"above":[311],"operating":[312],"system.":[313],"This":[314],"describe":[317],"mechanism":[320],"controlled":[323],"hypermedia":[326],"elements":[327],"attempts":[330],"assist":[332],"student":[334],"material":[338],"presented":[341],"their":[343],"participation.":[344]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2020-04-24T00:00:00"}