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On CNN boundary conditions in Turing pattern formation
Several new boundary conditions are studied for 2D CNN. Spatial eigenvectors and eigenvalues allowing the use of the differential equations decoupling are presented and computer simulations are given.
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creator | Goras, L. Teodorescu, T. |
description | Several new boundary conditions are studied for 2D CNN. Spatial eigenvectors and eigenvalues allowing the use of the differential equations decoupling are presented and computer simulations are given. |
doi_str_mv | 10.1109/CNNA.1998.685345 |
format | conference_proceeding |
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Spatial eigenvectors and eigenvalues allowing the use of the differential equations decoupling are presented and computer simulations are given.</description><subject>Boundary conditions</subject><subject>Cellular neural networks</subject><subject>Computer simulation</subject><subject>Differential equations</subject><subject>Dispersion</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Image analysis</subject><subject>Pattern analysis</subject><subject>Pattern formation</subject><subject>Resistors</subject><isbn>0780348672</isbn><isbn>9780780348677</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT01rwzAUM4zBtq73spP_QLL3kuevYwn7gtJeunOxY7t4rE5x0sP-_TI6XQQSEhJjK4QaEcxzt92uazRG11KLlsQNewCloSUtVXPHluP4BTNICGzlPZO7zOcId8Mle1t-eD9kn6Y05JGnzPeXkvKRn-00hZJ5HMrJ_pmP7Dba7zEs_3nBPl9f9t17tdm9fXTrTZUQaKrIi9goAeQBnXAKAxmHKlrlpEBL2GgiGaGXmgTNiuihcU1E43oPyrYL9nTtTSGEw7mk07zxcH3W_gLXe0Ky</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Goras, L.</creator><creator>Teodorescu, T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1998</creationdate><title>On CNN boundary conditions in Turing pattern formation</title><author>Goras, L. ; Teodorescu, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-4d5f27504d01b5b71e49b17fa7b651a4128446f0c6845451a5c02b2f19bcd07a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Boundary conditions</topic><topic>Cellular neural networks</topic><topic>Computer simulation</topic><topic>Differential equations</topic><topic>Dispersion</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Image analysis</topic><topic>Pattern analysis</topic><topic>Pattern formation</topic><topic>Resistors</topic><toplevel>online_resources</toplevel><creatorcontrib>Goras, L.</creatorcontrib><creatorcontrib>Teodorescu, T.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Goras, L.</au><au>Teodorescu, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On CNN boundary conditions in Turing pattern formation</atitle><btitle>1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. 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identifier | ISBN: 0780348672 |
ispartof | 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359), 1998, p.112-117 |
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language | eng |
recordid | cdi_ieee_primary_685345 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Boundary conditions Cellular neural networks Computer simulation Differential equations Dispersion Eigenvalues and eigenfunctions Image analysis Pattern analysis Pattern formation Resistors |
title | On CNN boundary conditions in Turing pattern formation |
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