{"id":"https://openalex.org/W2079870289","doi":"https://doi.org/10.1145/2393216.2393311","title":"Complex-valued neural network using simultaneous perturbation with dynamic tunneling technique","display_name":"Complex-valued neural network using simultaneous perturbation with dynamic tunneling technique","publication_year":2012,"publication_date":"2012-10-26","ids":{"openalex":"https://openalex.org/W2079870289","doi":"https://doi.org/10.1145/2393216.2393311","mag":"2079870289"},"language":"en","primary_location":{"id":"doi:10.1145/2393216.2393311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","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/A5019528901","display_name":"M. Sornam","orcid":null},"institutions":[{"id":"https://openalex.org/I215927","display_name":"University of Madras","ror":"https://ror.org/04jmt9361","country_code":"IN","type":"education","lineage":["https://openalex.org/I215927"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. Sornam","raw_affiliation_strings":["University of Madras, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"University of Madras, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I215927"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059586663","display_name":"P. Thangavel","orcid":"https://orcid.org/0000-0002-6568-3434"},"institutions":[{"id":"https://openalex.org/I215927","display_name":"University of Madras","ror":"https://ror.org/04jmt9361","country_code":"IN","type":"education","lineage":["https://openalex.org/I215927"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Thangavel","raw_affiliation_strings":["University of Madras, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"University of Madras, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I215927"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019528901"],"corresponding_institution_ids":["https://openalex.org/I215927"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11509454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"569","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9958000183105469,"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":0.9958000183105469,"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":0.9787999987602234,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9782000184059143,"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/backpropagation","display_name":"Backpropagation","score":0.7287720441818237},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.653481125831604},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.6009602546691895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5995989441871643},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.599321186542511},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5422237515449524},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5086882710456848},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49783825874328613},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.47432252764701843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3626173734664917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24529719352722168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09404763579368591}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7287720441818237},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.653481125831604},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.6009602546691895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5995989441871643},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.599321186542511},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5422237515449524},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5086882710456848},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49783825874328613},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.47432252764701843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3626173734664917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24529719352722168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09404763579368591},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393216.2393311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","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":9,"referenced_works":["https://openalex.org/W18746388","https://openalex.org/W1978715438","https://openalex.org/W2072690700","https://openalex.org/W2095870175","https://openalex.org/W2097688991","https://openalex.org/W2124289529","https://openalex.org/W2134563598","https://openalex.org/W2135858797","https://openalex.org/W2530338644"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740","https://openalex.org/W4234815853"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"complex-valued":[3,20,23,29,83],"neural":[4],"network":[5,24,30],"using":[6,25],"simultaneous":[7,26],"perturbation":[8,27],"method":[9,85],"with":[10,31,35,56,63],"dynamic":[11,32],"tunneling":[12,33],"technique.":[13],"A":[14],"comparison":[15],"is":[16],"made":[17],"between":[18],"conventional":[19,82],"backpropagation":[21,84],"algorithm,":[22],"method,":[28],"technique":[34],"the":[36,47,57,90],"proposed":[37],"method.":[38],"All":[39],"these":[40],"four":[41],"methods":[42],"have":[43,54],"been":[44],"compared":[45],"and":[46,74],"results":[48],"are":[49],"shown.":[50],"For":[51],"simulation,":[52],"we":[53],"tested":[55],"benchmark":[58],"problem":[59],"namely":[60,70],"complex":[61],"XOR":[62],"binary":[64],"inputs,":[65],"two":[66],"real":[67],"valued":[68],"problems":[69],"geometric":[71],"figure":[72],"rotation":[73],"similarity":[75],"transformation":[76],"of":[77],"scaling":[78],"problem.":[79],"Comparison":[80],"shows":[81],"performs":[86],"much":[87],"better":[88],"than":[89],"other":[91],"three":[92],"methods.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}