{"id":749,"date":"2023-01-01T12:00:00","date_gmt":"2023-01-01T12:00:00","guid":{"rendered":"https:\/\/grupo.us.es\/minerva\/a-new-deep-learning-architecture-with-inductive-bias-balance-for-transformer-oil-temperature-forecasting\/"},"modified":"2023-01-01T12:00:00","modified_gmt":"2023-01-01T12:00:00","slug":"a-new-deep-learning-architecture-with-inductive-bias-balance-for-transformer-oil-temperature-forecasting","status":"publish","type":"page","link":"https:\/\/grupo.us.es\/minerva\/a-new-deep-learning-architecture-with-inductive-bias-balance-for-transformer-oil-temperature-forecasting\/","title":{"rendered":"A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting"},"content":{"rendered":"<p><div class=\"tp_single_publication\"><span class=\"tp_single_author\">Manuel J. Jim\u00e9nez-Navarro, Mar\u00eda Mart\u00ednez-Ballesteros, Francisco Mart\u00ednez-\u00c1lvarez, Gualberto Asencio-Cort\u00e9s: <\/span> <span class=\"tp_single_title\">A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting<\/span>. <span class=\"tp_single_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Journal of Big Data, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_pages\">pp. N\/A, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/span><\/div><!--more--><\/p>\n<h2 class=\"tp_abstract\">Resumen<\/h2><p class=\"tp_abstract\"><\/p>\n<h2 class=\"tp_links\">Enlaces<\/h2><p class=\"tp_abstract\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1186\/s40537-023-00745-0\" title=\"https:\/\/doi.org\/10.1186\/s40537-023-00745-0\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s40537-023-00745-0<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1186\/s40537-023-00745-0\" title=\"DOI de seguimiento:10.1186\/s40537-023-00745-0\" target=\"_blank\">doi:10.1186\/s40537-023-00745-0<\/a><\/li><\/ul><\/p>\n<h2 class=\"tp_bibtex\">BibTeX (<a href=\"https:\/\/grupo.us.es\/minerva?feed=tp_pub_bibtex&amp;key=10.1186\/s40537-023-00745-0\">Download<\/a>)<\/h2><pre class=\"tp_bibtex\">@article{10.1186\/s40537-023-00745-0,\r\ntitle = {A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting},\r\nauthor = {Manuel J. Jim\u00e9nez-Navarro and Mar\u00eda Mart\u00ednez-Ballesteros and Francisco Mart\u00ednez-\u00c1lvarez and Gualberto Asencio-Cort\u00e9s},\r\nurl = {https:\/\/doi.org\/10.1186\/s40537-023-00745-0},\r\ndoi = {10.1186\/s40537-023-00745-0},\r\nyear  = {2023},\r\ndate = {2023-01-01},\r\njournal = {Journal of Big Data},\r\nvolume = {10},\r\npages = {N\/A},\r\nkeywords = {},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-749","page","type-page","status-publish","hentry","post-item clearfix"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/pages\/749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/comments?post=749"}],"version-history":[{"count":0,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/pages\/749\/revisions"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media?parent=749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}