Optimizing the morphological design of discrete-time cellular neural networks
The morphological design of discrete-time cellular neural networks (DTCNNs) has been presented in a companion paper (1996). DTCNN templates have been given for the elemental morphological operators. One way to obtain realizations for more complex operators is cascading the DTCNN equivalences of the...
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creator | ter Brugge, M.H. Spaanenburg, L. Jansen, W.J. Nijhuis, J.A.G. |
description | The morphological design of discrete-time cellular neural networks (DTCNNs) has been presented in a companion paper (1996). DTCNN templates have been given for the elemental morphological operators. One way to obtain realizations for more complex operators is cascading the DTCNN equivalences of the constituent elemental operators. Here it is shown that this straightforward mapping mostly yields a non-optimal solution with respect to the required amount of hardware. A hardware reduction scheme of morphologically designed DTCNNs is proposed which includes the introduction of time variant templates and the identification of non-elementary expressions for which a single layer DTCNN exists. |
doi_str_mv | 10.1109/CNNA.1996.566597 |
format | Conference Proceeding |
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A hardware reduction scheme of morphologically designed DTCNNs is proposed which includes the introduction of time variant templates and the identification of non-elementary expressions for which a single layer DTCNN exists.</description><subject>Biological neural networks</subject><subject>Cellular neural networks</subject><subject>Design methodology</subject><subject>Design optimization</subject><subject>Equations</subject><subject>Machine vision</subject><subject>Morphology</subject><subject>Neural network hardware</subject><subject>Neural networks</subject><isbn>9780780332614</isbn><isbn>078033261X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8lqwzAURQWl0JJmX7rSD9jVizVEy2A6QZpssg8anhy1npAcSvv1NSSXA3dzuHAJeQRWAjD9XO92mxK0lqWQUmh1Q5ZardlMVa0k8DuyzPmLzeFCVEzfk8_9OMUu_sW-odMJaTek8TS0QxOdaanHHJueDoH6mF3CCYvZRuqwbc-tSbTHc5q9HqefIX3nB3IbTJtxee0FOby-HOr3Yrt_-6g32yIC41MRuPfcqTUosMFyA4orWOkgXZBMcMOMZ14pDSDAV97irDhjUTqOVttqQZ4usxERj2OKnUm_x8vl6h_tsE4T</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>ter Brugge, M.H.</creator><creator>Spaanenburg, L.</creator><creator>Jansen, W.J.</creator><creator>Nijhuis, J.A.G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Optimizing the morphological design of discrete-time cellular neural networks</title><author>ter Brugge, M.H. ; Spaanenburg, L. ; Jansen, W.J. ; Nijhuis, J.A.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-f4dd4c78171bfb4a1747129f6cf6054a0ad0d7791151d3dbe4a1cabe6c4eb9b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Biological neural networks</topic><topic>Cellular neural networks</topic><topic>Design methodology</topic><topic>Design optimization</topic><topic>Equations</topic><topic>Machine vision</topic><topic>Morphology</topic><topic>Neural network hardware</topic><topic>Neural networks</topic><toplevel>online_resources</toplevel><creatorcontrib>ter Brugge, M.H.</creatorcontrib><creatorcontrib>Spaanenburg, L.</creatorcontrib><creatorcontrib>Jansen, W.J.</creatorcontrib><creatorcontrib>Nijhuis, J.A.G.</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>ter Brugge, M.H.</au><au>Spaanenburg, L.</au><au>Jansen, W.J.</au><au>Nijhuis, J.A.G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimizing the morphological design of discrete-time cellular neural networks</atitle><btitle>1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)</btitle><stitle>CNNA</stitle><date>1996</date><risdate>1996</risdate><spage>339</spage><epage>343</epage><pages>339-343</pages><isbn>9780780332614</isbn><isbn>078033261X</isbn><abstract>The morphological design of discrete-time cellular neural networks (DTCNNs) has been presented in a companion paper (1996). DTCNN templates have been given for the elemental morphological operators. One way to obtain realizations for more complex operators is cascading the DTCNN equivalences of the constituent elemental operators. Here it is shown that this straightforward mapping mostly yields a non-optimal solution with respect to the required amount of hardware. A hardware reduction scheme of morphologically designed DTCNNs is proposed which includes the introduction of time variant templates and the identification of non-elementary expressions for which a single layer DTCNN exists.</abstract><pub>IEEE</pub><doi>10.1109/CNNA.1996.566597</doi><tpages>5</tpages></addata></record> |
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ispartof | 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96), 1996, p.339-343 |
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subjects | Biological neural networks Cellular neural networks Design methodology Design optimization Equations Machine vision Morphology Neural network hardware Neural networks |
title | Optimizing the morphological design of discrete-time cellular neural networks |
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