<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="http://www.bibsonomy.org/user/idsia/growing,"><title>BibSonomy publications for /user/idsia/growing,</title><link>http://www.bibsonomy.org/publrss/user/idsia/growing,</link><description>BibSonomy RSS Feed for /user/idsia/growing,</description><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/27de690ebd2b0f60ab2c61c62c5079c75/idsia"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/27de690ebd2b0f60ab2c61c62c5079c75/idsia"><title>A Self-Organizing Network That Can Follow Non-stationary Distributions</title><link>http://www.bibsonomy.org/bibtex/27de690ebd2b0f60ab2c61c62c5079c75/idsia</link><dc:creator>idsia</dc:creator><dc:date>2008-03-11T14:52:34+01:00</dc:date><dc:subject>nn growing, gas, neural, </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Bernd &lt;a href=&#034;http://www.bibsonomy.org/author/Fritzke&#034;&gt;Fritzke&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Proceedings of the Seventh International Conference on Artificial Neural Networks: ICANN-97, &lt;/em&gt;&lt;em&gt;Volume1327vonLecture Notes in Computer Science, &lt;/em&gt;&lt;em&gt;Seite613--618. &lt;/em&gt;&lt;em&gt;Berlin; New York: Springer-Verlag, &lt;/em&gt;(&lt;em&gt;1997&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/nn"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/growing,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/gas,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/neural,"/></rdf:Bag></taxo:topics></item></rdf:RDF>