{"id":"https://openalex.org/W2735656876","doi":"https://doi.org/10.1109/smacd.2017.7981603","title":"Prediction of chaotic time-series with different MLE values using FPGA-based ANNs","display_name":"Prediction of chaotic time-series with different MLE values using FPGA-based ANNs","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2735656876","doi":"https://doi.org/10.1109/smacd.2017.7981603","mag":"2735656876"},"language":"en","primary_location":{"id":"doi:10.1109/smacd.2017.7981603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smacd.2017.7981603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028799485","display_name":"Ana Dalia Pano-Azucena","orcid":"https://orcid.org/0000-0002-5989-872X"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"A.D. Pano-Azucena","raw_affiliation_strings":["INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063933849","display_name":"Esteban Tlelo\u2010Cuautle","orcid":"https://orcid.org/0000-0001-7187-4686"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]},{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"E. Tlelo-Cuautle","raw_affiliation_strings":["CINVESTAV, Mexico, Mexico","INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINVESTAV, Mexico, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003302983","display_name":"Luis Gerardo de la Fraga","orcid":"https://orcid.org/0000-0002-9373-9837"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L.G. de la Fraga","raw_affiliation_strings":["CINVESTAV, Mexico, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINVESTAV, Mexico, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032954605","display_name":"C. S\u00e1nchez\u2010L\u00f3pez","orcid":"https://orcid.org/0000-0002-3214-5832"},"institutions":[{"id":"https://openalex.org/I122296185","display_name":"Universidad Aut\u00f3noma de Tlaxcala","ror":"https://ror.org/021vseb03","country_code":"MX","type":"education","lineage":["https://openalex.org/I122296185"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"C. Sanchez-Lopez","raw_affiliation_strings":["Universidad Aut\u00f3noma de Tlaxcala, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Tlaxcala, Mexico","institution_ids":["https://openalex.org/I122296185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010423760","display_name":"Jose Rangel\u2010Magdaleno","orcid":"https://orcid.org/0000-0003-2785-5060"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"J.J. Rangel-Magdaleno","raw_affiliation_strings":["INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058844682","display_name":"Sheldon X.-D. Tan","orcid":"https://orcid.org/0000-0003-2119-6869"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheldon X.-D. Tan","raw_affiliation_strings":["University of California at Riverside, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1384,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40317415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10244","display_name":"Chaos control and synchronization","score":0.9969000220298767,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/chaotic","display_name":"Chaotic","score":0.8718783259391785},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.7899928689002991},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7873793244361877},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6571283340454102},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6548177599906921},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.519004225730896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49794960021972656},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4511612057685852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44041356444358826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4023999273777008},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35709667205810547},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30319076776504517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25053316354751587},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0852716863155365}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.8718783259391785},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.7899928689002991},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7873793244361877},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6571283340454102},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6548177599906921},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.519004225730896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49794960021972656},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4511612057685852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44041356444358826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4023999273777008},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35709667205810547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30319076776504517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25053316354751587},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0852716863155365},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smacd.2017.7981603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smacd.2017.7981603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1532221965","https://openalex.org/W1533618852","https://openalex.org/W1576064560","https://openalex.org/W1584631603","https://openalex.org/W2019526184","https://openalex.org/W2032696489","https://openalex.org/W2085433809","https://openalex.org/W2110371102","https://openalex.org/W2125241117","https://openalex.org/W2210134120","https://openalex.org/W2494614581"],"related_works":["https://openalex.org/W1979229270","https://openalex.org/W2374600121","https://openalex.org/W125502673","https://openalex.org/W2384948345","https://openalex.org/W2027784897","https://openalex.org/W2019045751","https://openalex.org/W2368364854","https://openalex.org/W2361515791","https://openalex.org/W2375956839","https://openalex.org/W1982767765"],"abstract_inverted_index":{"Chaotic":[0],"time":[1,63,76,135],"series":[2,64,77,136],"can":[3,57],"be":[4,58],"generated":[5],"from":[6],"different":[7,13,26,66,79],"kinds":[8],"of":[9,28,40,42,71,108],"chaotic":[10,44,62,75,134],"oscillators":[11],"in":[12],"dimensions":[14],"and":[15,98,105,112,141],"directions.":[16],"However,":[17],"their":[18,29,139],"prediction":[19,126],"becomes":[20],"a":[21,43,109],"challenge":[22],"when":[23],"they":[24],"have":[25],"values":[27],"maximum":[30],"Lyapunov":[31],"exponent":[32],"(MLE),":[33],"which":[34,82],"is":[35,89,122],"associated":[36],"to":[37,60,131,138],"the":[38,93,120,125,132],"degree":[39],"unpredictability":[41],"system.":[45],"In":[46],"this":[47],"manner,":[48],"we":[49],"highlight":[50],"how":[51],"an":[52,86],"artificial":[53],"neural":[54],"network":[55],"(ANN)":[56],"used":[59],"predict":[61],"with":[65,78,124],"MLE":[67,80],"value.":[68],"The":[69],"cases":[70],"study":[72],"are":[73,83,129],"three":[74],"values,":[81],"predicted":[84],"by":[85],"ANN":[87,121],"that":[88,128],"validated":[90,123],"through":[91],"measuring":[92],"mean":[94],"square":[95],"error":[96],"(MSE)":[97],"root":[99],"MSE":[100,140],"(RMSE).":[101],"We":[102],"provide":[103],"design":[104],"training":[106],"details":[107],"5-layers":[110],"ANN,":[111],"its":[113],"implementation":[114],"using":[115],"field-programmable":[116],"gate":[117],"arrays.":[118],"Finally,":[119],"results":[127],"compared":[130],"original":[133],"according":[137],"RMSE.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
