{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:doc-UHJFW733/d30b71ee-8119-43b8-9e47-b503166ce60d/PDF","dcterms:extent":"1657 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:doc-UHJFW733/163f2323-f045-497f-ab5c-3d797c4e6653/TEXT","dcterms:extent":"0 KB"}],"edm:TimeSpan":{"@rdf:about":"1999-2025","edm:begin":{"@xml:lang":"en","#text":"1999"},"edm:end":{"@xml:lang":"en","#text":"2025"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:doc-UHJFW733","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:spr-6QOUKQ9A"},{"@xml:lang":"sl","#text":"Strojniški vestnik"}],"dcterms:issued":"2022","dc:creator":["Cheng, Gang","Jin, Zujin","Xu, Shichang","Yuan, Dunpeng"],"dc:format":[{"@xml:lang":"sl","#text":"številka:3"},{"@xml:lang":"sl","#text":"letnik:68"},{"@xml:lang":"sl","#text":"str. 175-184"}],"dc:identifier":["ISSN:0039-2480","COBISSID_HOST:105665027","URN:URN:NBN:SI:doc-UHJFW733"],"dc:language":"en","dc:publisher":{"@xml:lang":"sl","#text":"Zveza strojnih inženirjev in tehnikov Slovenije etc."},"dc:subject":[{"@xml:lang":"en","#text":"Bayesian optimization"},{"@xml:lang":"sl","#text":"Bayesova optimizacija"},{"@xml:lang":"en","#text":"deep learning"},{"@xml:lang":"en","#text":"error prediction"},{"@xml:lang":"sl","#text":"globoko učenej"},{"@xml:lang":"sl","#text":"hibridni manipulatorji"},{"@xml:lang":"sl","#text":"hiperparametrika"},{"@xml:lang":"en","#text":"hybrid manipulators"},{"@xml:lang":"en","#text":"hyperparametrics"},{"@xml:lang":"sl","#text":"napovedovanje napak"},{"@xml:lang":"sl","#text":"obdelava optičnih zrcal"},{"@xml:lang":"en","#text":"optical mirror processing"}],"dcterms:temporal":{"@rdf:resource":"1999-2025"},"dc:title":{"@xml:lang":"sl","#text":"Error prediction for large optical mirror processing robot based on deep learning|"},"dc:description":{"@xml:lang":"sl","#text":"Predicting the errors of a large optical mirror processing robot (LOMPR) is very important when studying a feedforward control error compensation strategy to improve the motion accuracy of the LOMPR. Therefore, an end trajectory error prediction model of a LOMPR based on a Bayesian optimized long short-term memory (BO-LSTM) was established. First, the batch size, number of hidden neurons and learning rate of LSTM were optimized using a Bayesian method. Then, the established prediction models were used to predict the errors in the X and Y directions of the spiral trajectory of the LOMPR, and the prediction results were compared with those of back-propagation (BP) neural network. The experimental results show that the training time of the BO-LSTM is reduced to 21.4 % and 15.2 %, respectively, in X and Y directions than that of the BP neural network. Moreover, the MSE, RMSE, and MAE of the prediction error in the X direction were reduced to 9.4 %, 30.5 %, and 31.8 %, respectively; the MSE, RMSE, and MAE of the prediction error in the Y direction were reduced to 9.6 %, 30.8 %, and 37.8 %, respectively. It is verified that the BO-LSTM prediction model could improve not only the accuracy of the end trajectory error prediction of the LOMPR but also the prediction efficiency, which provides a research basis for improving the surface accuracy of an optical mirror"},"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:doc-UHJFW733","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:doc-UHJFW733"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:doc-UHJFW733/d30b71ee-8119-43b8-9e47-b503166ce60d/PDF"},"edm:rights":{"@rdf:resource":"http://rightsstatements.org/vocab/InC/1.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Univerza v Ljubljani, Fakulteta za strojništvo"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:doc-UHJFW733/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:doc-UHJFW733"}}}}