{"id":"https://openalex.org/W2147569620","doi":"https://doi.org/10.1109/ijcnn.2008.4634257","title":"Numerical condition of feedforward networks with opposite transfer functions","display_name":"Numerical condition of feedforward networks with opposite transfer functions","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2147569620","doi":"https://doi.org/10.1109/ijcnn.2008.4634257","mag":"2147569620"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-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/A5017375445","display_name":"Mario Ventresca","orcid":"https://orcid.org/0000-0002-1246-297X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mario Ventresca","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038566332","display_name":"Hamid R. Tizhoosh","orcid":"https://orcid.org/0000-0001-5488-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamid Reza Tizhoosh","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017375445"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":3.5195,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93031259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"3233","last_page":"3240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9984999895095825,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7449284195899963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7048541903495789},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6973601579666138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684264063835144},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.6820954084396362},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6776077747344971},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.620527982711792},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5626311302185059},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5098499655723572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4828803837299347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3368868827819824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32805418968200684},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.1703917384147644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11545261740684509}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7449284195899963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7048541903495789},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6973601579666138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684264063835144},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.6820954084396362},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6776077747344971},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.620527982711792},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5626311302185059},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5098499655723572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828803837299347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3368868827819824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32805418968200684},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.1703917384147644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11545261740684509},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.9255","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pami.uwaterloo.ca/~mventres/pubs/2008b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W107370486","https://openalex.org/W190427941","https://openalex.org/W206078808","https://openalex.org/W1487798302","https://openalex.org/W1503551126","https://openalex.org/W1514538031","https://openalex.org/W1573814226","https://openalex.org/W1596746740","https://openalex.org/W1663973292","https://openalex.org/W1811843574","https://openalex.org/W1977923618","https://openalex.org/W1981184437","https://openalex.org/W1999174846","https://openalex.org/W2001689396","https://openalex.org/W2002096058","https://openalex.org/W2009086942","https://openalex.org/W2042144603","https://openalex.org/W2084993914","https://openalex.org/W2098041715","https://openalex.org/W2114274878","https://openalex.org/W2114766824","https://openalex.org/W2117349714","https://openalex.org/W2119169819","https://openalex.org/W2124776405","https://openalex.org/W2132055170","https://openalex.org/W2139263136","https://openalex.org/W2139801605","https://openalex.org/W2143908786","https://openalex.org/W2145196268","https://openalex.org/W2148600622","https://openalex.org/W2154369526","https://openalex.org/W2162745921","https://openalex.org/W2285257517","https://openalex.org/W3120740533","https://openalex.org/W4212915314","https://openalex.org/W4237431515","https://openalex.org/W4248290806","https://openalex.org/W4248597109","https://openalex.org/W6604365512","https://openalex.org/W6608438407","https://openalex.org/W6677554391","https://openalex.org/W7067641364"],"related_works":["https://openalex.org/W4386121542","https://openalex.org/W2636385491","https://openalex.org/W2286539782","https://openalex.org/W2115072676","https://openalex.org/W2045727192","https://openalex.org/W4311212821","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353"],"abstract_inverted_index":{"Numerical":[0],"condition":[1],"affects":[2],"the":[3,20,27,82,90,123],"learning":[4,13,83],"speed":[5],"and":[6,77,133],"accuracy":[7],"of":[8,22,29,53,81,92,115],"most":[9],"artificial":[10],"neural":[11,31,136],"network":[12,32,75],"algorithms.":[14,68],"In":[15],"this":[16],"paper,":[17],"we":[18],"examine":[19],"influence":[21],"opposite":[23,54,93,126],"transfer":[24,55,94,127],"functions":[25,56,95,128],"on":[26,112],"conditioning":[28,101],"feedforward":[30],"architectures.":[33],"The":[34],"goal":[35],"is":[36],"not":[37],"to":[38,50,65,99,135],"discuss":[39],"a":[40,97,113],"new":[41,67],"training":[42],"algorithm":[43],"nor":[44],"error":[45],"surface":[46],"geometry,":[47],"but":[48],"rather":[49],"present":[51],"characteristics":[52],"which":[57],"can":[58],"be":[59],"useful":[60],"for":[61,89,125],"improving":[62],"existing":[63],"or":[64],"develop":[66],"Our":[69,119],"investigation":[70],"examines":[71],"two":[72],"situations:":[73],"(1)":[74],"initialization,":[76],"(2)":[78],"early":[79],"stages":[80],"process.":[84],"We":[85],"provide":[86],"theoretical":[87,106],"motivation":[88],"consideration":[91],"as":[96],"means":[98],"improve":[100],"during":[102],"these":[103],"situations.":[104],"These":[105],"results":[107,120],"are":[108],"validated":[109],"by":[110],"experiments":[111],"subset":[114],"common":[116],"benchmark":[117],"problems.":[118],"also":[121],"reveal":[122],"potential":[124],"in":[129],"other":[130],"areas":[131],"of,":[132],"related":[134],"networks.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}