Neural Network Prediction Model of Digital Marketing under the Green Development Mode of Enterprises

Neural Network Prediction Model of Digital Marketing under the Green Development Mode of Enterprises | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Neural Network Prediction Model of Digital Marketing under the Green Development Mode of Enterprises Qianwen Hu, Qiao Xu, Jingjiao Wu, Feifei Yu, Li Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5061227/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 21 May, 2025 Read the published version in Discover Computing → Version 1 posted 13 You are reading this latest preprint version Abstract From the beginning of industrial development, people started to exploit and use natural resources beyond the limit in order to seek faster economic development, but this development model can no longer meet the needs of new forms of economic development in the future. At this time, the green development model was proposed, which is somewhat similar to the sustainable development model. At present, the relevant theoretical research of green development mode is becoming more and more perfect and more researchers begin to pay attention to the problem of how to harvest the highest economic benefits under the green development mode of enterprises. At the same time, the development of AI technology attracted the attention of researchers, who began to try to integrate the technology in AI into the green development model. This paper studied the digital marketing neural network model under the green development model of enterprise and used the artificial neural network to structure the digital marketing prediction model under the green development model of enterprise. It forecast the result value of digital marketing of enterprises through neural network algorithms such as linear regression in the artificial neural network, so as to improve the economic effect of enterprises under the green development mode. At the end of the article, the digital marketing neural network prediction model was used to analyze the improvement of the economic benefits of enterprises under the green development model. The experimental results showed that the digital marketing neural network prediction model can improve the sales performance of enterprises by 27.8% under the green development model. Digital Marketing Enterprise Development Green Economy Convolutional Network Prediction Model Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 21 May, 2025 Read the published version in Discover Computing → Version 1 posted Editorial decision: Revision requested 14 Oct, 2024 Reviews received at journal 12 Oct, 2024 Reviews received at journal 11 Oct, 2024 Reviews received at journal 08 Oct, 2024 Reviewers agreed at journal 07 Oct, 2024 Reviewers agreed at journal 05 Oct, 2024 Reviewers agreed at journal 04 Oct, 2024 Reviewers agreed at journal 04 Oct, 2024 Reviewers agreed at journal 03 Oct, 2024 Reviewers invited by journal 03 Oct, 2024 Editor assigned by journal 25 Sep, 2024 Submission checks completed at journal 20 Sep, 2024 First submitted to journal 09 Sep, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5061227","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":365751276,"identity":"242bd112-8516-46e6-85a4-e4c2bad5891e","order_by":0,"name":"Qianwen Hu","email":"","orcid":"","institution":"Jinan University","correspondingAuthor":false,"prefix":"","firstName":"Qianwen","middleName":"","lastName":"Hu","suffix":""},{"id":365751277,"identity":"cbad8115-2642-4001-a658-c093c524620c","order_by":1,"name":"Qiao Xu","email":"","orcid":"","institution":"JDM Jingda Machine (Ningbo) Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Qiao","middleName":"","lastName":"Xu","suffix":""},{"id":365751278,"identity":"8277b101-6f5d-4eaa-a162-73228529a8c1","order_by":2,"name":"Jingjiao Wu","email":"","orcid":"","institution":"Jilin University of Arts","correspondingAuthor":false,"prefix":"","firstName":"Jingjiao","middleName":"","lastName":"Wu","suffix":""},{"id":365751279,"identity":"7b6d3db6-82c1-46ce-a43e-24f2e34e1d9a","order_by":3,"name":"Feifei Yu","email":"","orcid":"","institution":"Guangzhou Getdesign Industrial Design Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Feifei","middleName":"","lastName":"Yu","suffix":""},{"id":365751280,"identity":"0dee5326-805b-4297-a0ee-7d394da38511","order_by":4,"name":"Li Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAu0lEQVRIiWNgGAWjYJACCSCS4WdmPviAJC08ku1syQakaGHgMTjPYyZAlHL+9sMPb92oseAxPsxgxsBQYxNN2IYzacbWOcckeMwOM6Q9YDiWlttAUM8NBjPpHDawluMGjA2HCWuRv8H+TTrnnwSPcTNjmwRRWgxu8JhJ57ZJ8BgwM7MRp8XwTE6xdW6fBI/EYTZmgwRi/CJ3/PjG2znf6uT4+89/fPChxoYI76OABNKUj4JRMApGwSjABQCtszdupVem/QAAAABJRU5ErkJggg==","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Li","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2024-09-10 03:00:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5061227/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5061227/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10791-025-09568-4","type":"published","date":"2025-05-21T15:57:51+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":83460045,"identity":"949b2e52-6bd2-4912-abd5-419a798ef5eb","added_by":"auto","created_at":"2025-05-26 16:09:27","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":478719,"visible":true,"origin":"","legend":"","description":"","filename":"NeuralNetworkPrediction.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5061227/v1_covered_949980ab-59a4-4838-a462-1f5e23a6a7ed.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Neural Network Prediction Model of Digital Marketing under the Green Development Mode of Enterprises","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-computing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Discover Computing](https://link.springer.com/journal/10791)","snPcode":"10791","submissionUrl":"https://submission.springernature.com/new-submission/10791/3","title":"Discover Computing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Digital Marketing, Enterprise Development, Green Economy, Convolutional Network, Prediction Model","lastPublishedDoi":"10.21203/rs.3.rs-5061227/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5061227/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eFrom the beginning of industrial development, people started to exploit and use natural resources beyond the limit in order to seek faster economic development, but this development model can no longer meet the needs of new forms of economic development in the future. 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