<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[Biblioteca Universității &quot;Dunărea de Jos&quot; Search for 'an:74912']]> </title> <!-- prettier-ignore-start --> <link> https://opac.ugal.ro/cgi-bin/koha/opac-search.pl?q=ccl=an%3A74912&#38;sort_by=relevance&#38;format=rss </link> <!-- prettier-ignore-end --> <atom:link rel="self" type="application/rss+xml" href="https://opac.ugal.ro/cgi-bin/koha/opac-search.pl?q=ccl=an%3A74912&#38;sort_by=relevance&#38;format=rss" /> <description> <![CDATA[ Search results for 'an:74912' at Biblioteca Universității &quot;Dunărea de Jos&quot;]]> </description> <opensearch:totalResults>4</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="https://opac.ugal.ro/cgi-bin/koha/opac-search.pl?q=ccl=an%3A74912&#38;sort_by=relevance&#38;format=opensearchdescription" /> <opensearch:Query role="request" searchTerms="q%3Dccl%3Dan%253A74912" startPage="" /> <item> <title> New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms </title> <dc:identifier>ISBN:9783031537134</dc:identifier> <!-- prettier-ignore-start --> <link>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=59026</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> .<br /> X, 210 p. 73 illus., 61 illus. in color. 9783031537134 </p> ]]> <![CDATA[ <p> <a href="https://opac.ugal.ro/cgi-bin/koha/opac-reserve.pl?biblionumber=59026">Place hold on <em>New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms</em></a> </p> ]]> </description> <guid>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=59026</guid> </item> <item> <title> Type-3 Fuzzy Logic in Time Series Prediction </title> <dc:identifier>ISBN:9783031597145</dc:identifier> <!-- prettier-ignore-start --> <link>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=59850</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> By Castillo, Oscar..<br /> .<br /> VIII, 99 p. 73 illus., 67 illus. in color. 9783031597145 </p> ]]> <![CDATA[ <p> <a href="https://opac.ugal.ro/cgi-bin/koha/opac-reserve.pl?biblionumber=59850">Place hold on <em>Type-3 Fuzzy Logic in Time Series Prediction</em></a> </p> ]]> </description> <guid>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=59850</guid> </item> <item> <title> New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics </title> <dc:identifier>ISBN:9783031556845</dc:identifier> <!-- prettier-ignore-start --> <link>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=60024</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> .<br /> XII, 434 p. 153 illus., 114 illus. in color. 9783031556845 </p> ]]> <![CDATA[ <p> <a href="https://opac.ugal.ro/cgi-bin/koha/opac-reserve.pl?biblionumber=60024">Place hold on <em>New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics</em></a> </p> ]]> </description> <guid>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=60024</guid> </item> <item> <title> Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks </title> <dc:identifier>ISBN:9783031711015</dc:identifier> <!-- prettier-ignore-start --> <link>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=63801</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> By Melin, Patricia..<br /> .<br /> VIII, 74 p. 21 illus., 20 illus. in color. 9783031711015 </p> ]]> <![CDATA[ <p> <a href="https://opac.ugal.ro/cgi-bin/koha/opac-reserve.pl?biblionumber=63801">Place hold on <em>Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks</em></a> </p> ]]> </description> <guid>https://opac.ugal.ro/cgi-bin/koha/opac-detail.pl?biblionumber=63801</guid> </item> </channel> </rss>
