{"id":"https://openalex.org/W2005025637","doi":"https://doi.org/10.1109/ijcnn.1990.137925","title":"Adaptive input field neural network-that can recognize rotated and/or shifted character","display_name":"Adaptive input field neural network-that can recognize rotated and/or shifted character","publication_year":1990,"publication_date":"1990-01-01","ids":{"openalex":"https://openalex.org/W2005025637","doi":"https://doi.org/10.1109/ijcnn.1990.137925","mag":"2005025637"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.1990.137925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","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/A5036519000","display_name":"Minoru Asogawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Asogawa","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036519000"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5189,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71707368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"733","last_page":"738 vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/field","display_name":"Field (mathematics)","score":0.6032767295837402},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5885690450668335},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5822743773460388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5506347417831421},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5028900504112244},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4562772810459137},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45057588815689087},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4206172525882721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095074236392975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4038565754890442},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38417747616767883},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.36463990807533264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35074925422668457},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.23501935601234436},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09274312853813171}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6032767295837402},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5885690450668335},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5822743773460388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506347417831421},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5028900504112244},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4562772810459137},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45057588815689087},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4206172525882721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095074236392975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4038565754890442},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38417747616767883},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.36463990807533264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35074925422668457},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.23501935601234436},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09274312853813171},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.1990.137925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1990.137925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1990 IJCNN International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2129848027","https://openalex.org/W2170302354","https://openalex.org/W2256679588","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2135584473","https://openalex.org/W2964223869","https://openalex.org/W2792539140","https://openalex.org/W2005808740","https://openalex.org/W2295130398","https://openalex.org/W2064951085","https://openalex.org/W2626141450","https://openalex.org/W2810740133","https://openalex.org/W2064919237","https://openalex.org/W4302055909"],"abstract_inverted_index":{"Presents":[0],"an":[1,24,29,144],"adaptive":[2,25],"input":[3,26,35,38,59,68,83,102,104,118,129,153,156,188],"field":[4,27,36,69,84,130,157,189],"neural":[5,32],"network":[6,167],"which":[7,41],"is":[8,65,70,120],"designed":[9],"for":[10,76,127],"the":[11,67,82,90,93,101,112,115,128,137,152,155,163,187,192],"classification":[12],"problem":[13],"and":[14,28,149,186],"can":[15,52,108],"recognize":[16],"rotated":[17,56,71,147,158],"and/or":[18,57,72],"shifted":[19,58,73,173,179,190],"characters.":[20,142],"It":[21],"consists":[22],"of":[23,139],"ordinal":[30],"layered":[31],"network.":[33],"The":[34,166],"contains":[37],"layer":[39],"cells":[40,119],"are":[42],"arranged":[43],"according":[44],"to":[45,74,88,122,151,191],"a":[46,55,63,124],"specific":[47],"spatial":[48],"constraint.":[49],"This":[50],"model":[51],"deal":[53],"with":[54],"pattern.":[60],"When":[61,143],"such":[62],"pattern":[64],"presented,":[66,185],"compensate":[75],"initial":[77,164],"positional":[78],"variance.":[79],"Cells":[80],"in":[81,92,100,171],"adjust":[85],"their":[86],"positions":[87],"reduce":[89],"error":[91],"output":[94],"layer.":[95],"By":[96],"utilizing":[97],"delta":[98],"values":[99],"layer,":[103],"cell":[105],"movement":[106],"direction":[107],"be":[109],"decided.":[110],"At":[111],"same":[113],"time,":[114],"constraint":[116],"between":[117],"introduced":[121],"maintain":[123],"rectangular":[125],"shape":[126],"grid.":[131],"Experiments":[132],"were":[133],"carried":[134],"out":[135],"on":[136],"recognition":[138],"five":[140],"alphabetic":[141],"`A'":[145,176],"was":[146,168,178,183],"30\u00b0":[148],"presented":[150],"field,":[154],"about":[159],"24":[160],"degrees":[161],"against":[162],"rotation.":[165],"also":[169,184],"effective":[170],"recognizing":[172],"patterns.":[174],"An":[175],"that":[177],"diagonally":[180],"by":[181],"20%":[182],"almost-diagonally":[193],"normal":[194],"position":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}