Method for predicting stray current corrosion based on PSO-BP algorithm
The invention belongs to the technical field of stray current prediction, and relates to a method for predicting stray current corrosion based on a PSO-BP algorithm, compared with a prediction method based on a BP neural network, the calculation amount is relatively large, and if the calculation cap...
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| creator | NIU YIJIANG WANG ZISHENG LI GUOFENG MENG ZHAOLIANG |
| description | The invention belongs to the technical field of stray current prediction, and relates to a method for predicting stray current corrosion based on a PSO-BP algorithm, compared with a prediction method based on a BP neural network, the calculation amount is relatively large, and if the calculation capability is sufficient, the calculation amount is relatively large. By using the technical scheme of the invention, the problems that the BP neural network is weak in global search capability, poor in robustness, easy to fall into local minimum and the like when facing partial data can be solved. Moreover, only the individual extremum data at the first position pbest and the global extremum data at the second position gbest are used in the operation, the pbest can retain the possibility that each particle explores a better global extremum point, and the gbest can retain the found global extremum point, thereby ensuring that the final algorithm can converge.
本发明属于杂散电流预测技术领域，涉及一种基于PSO-BP算法预测杂散电流腐蚀预测的方法，相比于基于BP神经网络的预测方 |
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本发明属于杂散电流预测技术领域，涉及一种基于PSO-BP算法预测杂散电流腐蚀预测的方法，相比于基于BP神经网络的预测方</description><language>chi ; eng</language><subject>CALCULATING ; CHEMICAL SURFACE TREATMENT ; CHEMISTRY ; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATIONOR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL ; COATING MATERIAL WITH METALLIC MATERIAL ; COATING METALLIC MATERIAL ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DIFFUSION TREATMENT OF METALLIC MATERIAL ; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION INGENERAL ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; METALLURGY ; MULTI-STEP PROCESSES FOR SURFACE TREATMENT OF METALLICMATERIAL INVOLVING AT LEAST ONE PROCESS PROVIDED FOR IN CLASSC23 AND AT LEAST ONEPROCESS COVERED BY SUBCLASS C21D OR C22F OR CLASS C25 ; NON-MECHANICAL REMOVAL OF METALLIC MATERIAL FROM SURFACE ; PHYSICS ; TESTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221213&DB=EPODOC&CC=CN&NR=115470891A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221213&DB=EPODOC&CC=CN&NR=115470891A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NIU YIJIANG</creatorcontrib><creatorcontrib>WANG ZISHENG</creatorcontrib><creatorcontrib>LI GUOFENG</creatorcontrib><creatorcontrib>MENG ZHAOLIANG</creatorcontrib><title>Method for predicting stray current corrosion based on PSO-BP algorithm</title><description>The invention belongs to the technical field of stray current prediction, and relates to a method for predicting stray current corrosion based on a PSO-BP algorithm, compared with a prediction method based on a BP neural network, the calculation amount is relatively large, and if the calculation capability is sufficient, the calculation amount is relatively large. By using the technical scheme of the invention, the problems that the BP neural network is weak in global search capability, poor in robustness, easy to fall into local minimum and the like when facing partial data can be solved. Moreover, only the individual extremum data at the first position pbest and the global extremum data at the second position gbest are used in the operation, the pbest can retain the possibility that each particle explores a better global extremum point, and the gbest can retain the found global extremum point, thereby ensuring that the final algorithm can converge.
本发明属于杂散电流预测技术领域，涉及一种基于PSO-BP算法预测杂散电流腐蚀预测的方法，相比于基于BP神经网络的预测方</description><subject>CALCULATING</subject><subject>CHEMICAL SURFACE TREATMENT</subject><subject>CHEMISTRY</subject><subject>COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATIONOR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL</subject><subject>COATING MATERIAL WITH METALLIC MATERIAL</subject><subject>COATING METALLIC MATERIAL</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIFFUSION TREATMENT OF METALLIC MATERIAL</subject><subject>INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION INGENERAL</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>METALLURGY</subject><subject>MULTI-STEP PROCESSES FOR SURFACE TREATMENT OF METALLICMATERIAL INVOLVING AT LEAST ONE PROCESS PROVIDED FOR IN CLASSC23 AND AT LEAST ONEPROCESS COVERED BY SUBCLASS C21D OR C22F OR CLASS C25</subject><subject>NON-MECHANICAL REMOVAL OF METALLIC MATERIAL FROM SURFACE</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHD3TS3JyE9RSMsvUigoSk3JTC7JzEtXKC4pSqxUSC4tKkrNK1FIzi8qyi_OzM9TSEosTk1RADICgv11nQIUEnPS84sySzJyeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoaGpibmBhaWhozExagBIHzOP</recordid><startdate>20221213</startdate><enddate>20221213</enddate><creator>NIU YIJIANG</creator><creator>WANG ZISHENG</creator><creator>LI GUOFENG</creator><creator>MENG ZHAOLIANG</creator><scope>EVB</scope></search><sort><creationdate>20221213</creationdate><title>Method for predicting stray current corrosion based on PSO-BP algorithm</title><author>NIU YIJIANG ; WANG ZISHENG ; LI GUOFENG ; MENG ZHAOLIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115470891A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>CHEMICAL SURFACE TREATMENT</topic><topic>CHEMISTRY</topic><topic>COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATIONOR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL</topic><topic>COATING MATERIAL WITH METALLIC MATERIAL</topic><topic>COATING METALLIC MATERIAL</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIFFUSION TREATMENT OF METALLIC MATERIAL</topic><topic>INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION INGENERAL</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>METALLURGY</topic><topic>MULTI-STEP PROCESSES FOR SURFACE TREATMENT OF METALLICMATERIAL INVOLVING AT LEAST ONE PROCESS PROVIDED FOR IN CLASSC23 AND AT LEAST ONEPROCESS COVERED BY SUBCLASS C21D OR C22F OR CLASS C25</topic><topic>NON-MECHANICAL REMOVAL OF METALLIC MATERIAL FROM SURFACE</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>NIU YIJIANG</creatorcontrib><creatorcontrib>WANG ZISHENG</creatorcontrib><creatorcontrib>LI GUOFENG</creatorcontrib><creatorcontrib>MENG ZHAOLIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>NIU YIJIANG</au><au>WANG ZISHENG</au><au>LI GUOFENG</au><au>MENG ZHAOLIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for predicting stray current corrosion based on PSO-BP algorithm</title><date>2022-12-13</date><risdate>2022</risdate><abstract>The invention belongs to the technical field of stray current prediction, and relates to a method for predicting stray current corrosion based on a PSO-BP algorithm, compared with a prediction method based on a BP neural network, the calculation amount is relatively large, and if the calculation capability is sufficient, the calculation amount is relatively large. By using the technical scheme of the invention, the problems that the BP neural network is weak in global search capability, poor in robustness, easy to fall into local minimum and the like when facing partial data can be solved. Moreover, only the individual extremum data at the first position pbest and the global extremum data at the second position gbest are used in the operation, the pbest can retain the possibility that each particle explores a better global extremum point, and the gbest can retain the found global extremum point, thereby ensuring that the final algorithm can converge.
本发明属于杂散电流预测技术领域，涉及一种基于PSO-BP算法预测杂散电流腐蚀预测的方法，相比于基于BP神经网络的预测方</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | CALCULATING CHEMICAL SURFACE TREATMENT CHEMISTRY COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATIONOR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL COATING MATERIAL WITH METALLIC MATERIAL COATING METALLIC MATERIAL COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIFFUSION TREATMENT OF METALLIC MATERIAL INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION INGENERAL MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES METALLURGY MULTI-STEP PROCESSES FOR SURFACE TREATMENT OF METALLICMATERIAL INVOLVING AT LEAST ONE PROCESS PROVIDED FOR IN CLASSC23 AND AT LEAST ONEPROCESS COVERED BY SUBCLASS C21D OR C22F OR CLASS C25 NON-MECHANICAL REMOVAL OF METALLIC MATERIAL FROM SURFACE PHYSICS TESTING |
| title | Method for predicting stray current corrosion based on PSO-BP algorithm |
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