Position-wise optimizer: A nature-inspired optimization algorithm

Position-wise optimizer: A nature-inspired optimization algorithm | 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 Method Article Position-wise optimizer: A nature-inspired optimization algorithm Dr. Amir Valizadeh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-776504/v4 This work is licensed under a CC BY 4.0 License Status: Posted Version 4 posted You are reading this latest preprint version Show more versions Abstract The human nervous system utilizes synaptic plasticity to solve optimization problems. Previous studies have tried to add the plasticity factor to the training process of artificial neural networks, but most of those models require complex external control over the network or complex novel rules. In this manuscript, a novel nature-inspired optimization algorithm is introduced that imitates biological neural plasticity. Furthermore, the model is tested on three datasets and the results are compared with gradient descent optimization. Artificial Intelligence and Machine Learning Optimization Artificial Neural Networks Neural Plasticity Nature-Inspired Optimization Algorithms Full Text Cite Share Download PDF Status: Posted Version 4 posted You are reading this latest preprint version Show more versions 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-776504","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Method Article","associatedPublications":[],"authors":[{"id":122674446,"identity":"365d356f-7798-438b-98cf-a92b9e10051d","order_by":0,"name":"Dr. Amir Valizadeh","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYDACCcYGhgQgzcbAwPgASPPwEdLBg6SF2QAkwEZYC4LNBmYT1GIv3dz84cEfu2g+6TNmlV9z7GTYGJgfPrqBzxaZg20SiW3JuW18OWa3ZbclAx3GZmycg9dhiW0MiQ3MuW08bGm3JbcxA7XwsEkT0NL8IeFPPVhLseS2eqK0NEgksB0GamE+xvhx22EitNxIBPnlOEjLYWnGbcd52JgJ+IV9Rvrjjz/+VOfO72Fs/PhzW7U9P3vzw8f4tKAAZh4wSaxyEGD8QYrqUTAKRsEoGDEAAGQAQLdGAdqMAAAAAElFTkSuQmCC","orcid":"","institution":"Tehran University of Medical Scences","correspondingAuthor":true,"submittingAuthor":false,"prefix":"Dr.","firstName":"Amir","middleName":"","lastName":"Valizadeh","suffix":""}],"badges":[],"createdAt":"2021-08-02 14:12:58","currentVersionCode":4,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-776504/v4","doiUrl":"https://doi.org/10.21203/rs.3.rs-776504/v4","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":24297116,"identity":"8a906464-8c6c-40c4-bbc9-9e7129419054","added_by":"auto","created_at":"2022-07-25 16:25:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":366827,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-776504/v4_covered.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003ePosition-wise optimizer: A nature-inspired optimization algorithm\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-776504/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Tehran University of Medical Sciences","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Optimization, Artificial Neural Networks, Neural Plasticity, Nature-Inspired Optimization Algorithms","lastPublishedDoi":"10.21203/rs.3.rs-776504/v4","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-776504/v4","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe human nervous system utilizes synaptic plasticity to solve optimization problems. 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