Method, device and system for traffic flow prediction based on Bat algorithm
The embodiment of the invention discloses a method, device and system for traffic flow prediction based on the Bat algorithm. The method comprises: obtaining traffic flow data; employing a wavelets neural network traffic flow prediction model established in advance to perform processing and obtain a...
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| creator | HUANG HELIE CAI HAO LIU HUILING CAI YANGUANG |
| description | The embodiment of the invention discloses a method, device and system for traffic flow prediction based on the Bat algorithm. The method comprises: obtaining traffic flow data; employing a wavelets neural network traffic flow prediction model established in advance to perform processing and obtain a traffic flow prediction result, wherein the wavelets neural network traffic flow prediction model is formed through training based on the Bat algorithm, and the training process comprises calculation of initialization wavelets neural network parameters according to the historical data and the Bat algorithm; and employing the wavelets neural network and the historical data to perform training of the initialization wavelets neural network parameters to obtain the wavelets neural network traffic flow prediction model. Therefore, according to the embodiment of the invention, when the wavelets neural network traffic flow prediction model trained through adoption of the initialization wavelets neural network parameters |
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The method comprises: obtaining traffic flow data; employing a wavelets neural network traffic flow prediction model established in advance to perform processing and obtain a traffic flow prediction result, wherein the wavelets neural network traffic flow prediction model is formed through training based on the Bat algorithm, and the training process comprises calculation of initialization wavelets neural network parameters according to the historical data and the Bat algorithm; and employing the wavelets neural network and the historical data to perform training of the initialization wavelets neural network parameters to obtain the wavelets neural network traffic flow prediction model. Therefore, according to the embodiment of the invention, when the wavelets neural network traffic flow prediction model trained through adoption of the initialization wavelets neural network parameters</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2017</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=20170829&DB=EPODOC&CC=CN&NR=107103397A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170829&DB=EPODOC&CC=CN&NR=107103397A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG HELIE</creatorcontrib><creatorcontrib>CAI HAO</creatorcontrib><creatorcontrib>LIU HUILING</creatorcontrib><creatorcontrib>CAI YANGUANG</creatorcontrib><title>Method, device and system for traffic flow prediction based on Bat algorithm</title><description>The embodiment of the invention discloses a method, device and system for traffic flow prediction based on the Bat algorithm. The method comprises: obtaining traffic flow data; employing a wavelets neural network traffic flow prediction model established in advance to perform processing and obtain a traffic flow prediction result, wherein the wavelets neural network traffic flow prediction model is formed through training based on the Bat algorithm, and the training process comprises calculation of initialization wavelets neural network parameters according to the historical data and the Bat algorithm; and employing the wavelets neural network and the historical data to perform training of the initialization wavelets neural network parameters to obtain the wavelets neural network traffic flow prediction model. Therefore, according to the embodiment of the invention, when the wavelets neural network traffic flow prediction model trained through adoption of the initialization wavelets neural network parameters</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2017</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEsDlJ9h3Ov0JKhOGpRHNTJvZzJpQ2kuZAcim-vgw_g9H_Dv1SXK8nEtgZLT28IMFoo7yI0g-MMktE5b8AFfkHKZL0RzxEeWMjCFwcUwDBy9jLNK7VwGAqtf63U5nS89-ctJR6oJDQUSYb-1jZd22i96_b6n-cDRvM1Lw</recordid><startdate>20170829</startdate><enddate>20170829</enddate><creator>HUANG HELIE</creator><creator>CAI HAO</creator><creator>LIU HUILING</creator><creator>CAI YANGUANG</creator><scope>EVB</scope></search><sort><creationdate>20170829</creationdate><title>Method, device and system for traffic flow prediction based on Bat algorithm</title><author>HUANG HELIE ; CAI HAO ; LIU HUILING ; CAI YANGUANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN107103397A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2017</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG HELIE</creatorcontrib><creatorcontrib>CAI HAO</creatorcontrib><creatorcontrib>LIU HUILING</creatorcontrib><creatorcontrib>CAI YANGUANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG HELIE</au><au>CAI HAO</au><au>LIU HUILING</au><au>CAI YANGUANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method, device and system for traffic flow prediction based on Bat algorithm</title><date>2017-08-29</date><risdate>2017</risdate><abstract>The embodiment of the invention discloses a method, device and system for traffic flow prediction based on the Bat algorithm. The method comprises: obtaining traffic flow data; employing a wavelets neural network traffic flow prediction model established in advance to perform processing and obtain a traffic flow prediction result, wherein the wavelets neural network traffic flow prediction model is formed through training based on the Bat algorithm, and the training process comprises calculation of initialization wavelets neural network parameters according to the historical data and the Bat algorithm; and employing the wavelets neural network and the historical data to perform training of the initialization wavelets neural network parameters to obtain the wavelets neural network traffic flow prediction model. Therefore, according to the embodiment of the invention, when the wavelets neural network traffic flow prediction model trained through adoption of the initialization wavelets neural network parameters</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Method, device and system for traffic flow prediction based on Bat algorithm |
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