Information processing using dynamical chaos: neural networks implementation
In this work, we study information processing applications of complex dynamics and chaos in neural networks. We discuss mathematical models based on piecewise-linear maps which enable us to realize the basic functions of information processing using complex dynamics and chaos. Realizations of these...
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| Veröffentlicht in: | IEEE transactions on neural networks 1996-03, Vol.7 (2), p.290-299 |
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| container_end_page | 299 |
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| container_title | IEEE transactions on neural networks |
| container_volume | 7 |
| creator | Andreyev, Y.V. Belsky, Y.L. Dmitriev, A.S. Kuminov, D.A. |
| description | In this work, we study information processing applications of complex dynamics and chaos in neural networks. We discuss mathematical models based on piecewise-linear maps which enable us to realize the basic functions of information processing using complex dynamics and chaos. Realizations of these models using recurrent neural-like systems are presented. |
| doi_str_mv | 10.1109/72.485632 |
| format | Article |
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We discuss mathematical models based on piecewise-linear maps which enable us to realize the basic functions of information processing using complex dynamics and chaos. Realizations of these models using recurrent neural-like systems are presented.</description><subject>Artificial neural networks</subject><subject>Biological neural networks</subject><subject>Chaos</subject><subject>Computational efficiency</subject><subject>Information processing</subject><subject>Mathematical model</subject><subject>Neural networks</subject><subject>Piecewise linear techniques</subject><subject>Recurrent neural networks</subject><subject>Very large scale integration</subject><issn>1045-9227</issn><issn>1941-0093</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNp90L1LxDAYBvAgiqeng6uDdBDFoZrPJnGTw4-DAxedS0zfaLVNz6RF7r83euXcXPJBfjxJHoSOCL4kBOsrSS-5EgWjW2iPaE5yjDXbTmvMRa4plRO0H-M7xoQLXOyiCVFUCKHYHlrMvetCa_q689kydBZirP1rNvyO1cqbtramyeyb6eJ15mEIaeeh_-rCR8zqdtlAC77_DThAO840EQ7HeYqe726fZg_54vF-PrtZ5JYVpM8dZpIA1S8VUUY5K62ztiq4pum9nIqqcNRg7TBhQnHglBZGgSSUWVkZrtgUna9z04M_B4h92dbRQtMYD90QS8lSSvrjjzz7V1LFiRCUJXixhjZ0MQZw5TLUrQmrkuDyp-RS0nJdcrInY-jw0kL1J8dWEzgdgYmpPBeMt3XcOIaZ5lomdrxmNQBsTsdLvgF5Louv</recordid><startdate>19960301</startdate><enddate>19960301</enddate><creator>Andreyev, Y.V.</creator><creator>Belsky, Y.L.</creator><creator>Dmitriev, A.S.</creator><creator>Kuminov, D.A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>19960301</creationdate><title>Information processing using dynamical chaos: neural networks implementation</title><author>Andreyev, Y.V. ; Belsky, Y.L. ; Dmitriev, A.S. ; Kuminov, D.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-f0371e29bd18a8fc7cfccd6492045425d6f2a09f013584e4226a8e7123c7da483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Artificial neural networks</topic><topic>Biological neural networks</topic><topic>Chaos</topic><topic>Computational efficiency</topic><topic>Information processing</topic><topic>Mathematical model</topic><topic>Neural networks</topic><topic>Piecewise linear techniques</topic><topic>Recurrent neural networks</topic><topic>Very large scale integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Andreyev, Y.V.</creatorcontrib><creatorcontrib>Belsky, Y.L.</creatorcontrib><creatorcontrib>Dmitriev, A.S.</creatorcontrib><creatorcontrib>Kuminov, D.A.</creatorcontrib><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on neural networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Andreyev, Y.V.</au><au>Belsky, Y.L.</au><au>Dmitriev, A.S.</au><au>Kuminov, D.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Information processing using dynamical chaos: neural networks implementation</atitle><jtitle>IEEE transactions on neural networks</jtitle><stitle>TNN</stitle><addtitle>IEEE Trans Neural Netw</addtitle><date>1996-03-01</date><risdate>1996</risdate><volume>7</volume><issue>2</issue><spage>290</spage><epage>299</epage><pages>290-299</pages><issn>1045-9227</issn><eissn>1941-0093</eissn><coden>ITNNEP</coden><abstract>In this work, we study information processing applications of complex dynamics and chaos in neural networks. 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| ispartof | IEEE transactions on neural networks, 1996-03, Vol.7 (2), p.290-299 |
| issn | 1045-9227 1941-0093 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Artificial neural networks Biological neural networks Chaos Computational efficiency Information processing Mathematical model Neural networks Piecewise linear techniques Recurrent neural networks Very large scale integration |
| title | Information processing using dynamical chaos: neural networks implementation |
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