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		<identifier>oai:lib.psnc.pl:673</identifier>
	    <datestamp>2014-08-18T15:41:05Z</datestamp>
		  <setSpec>PSNCRepository:PSNCExternalRepository:cmst:2009:vol15(2)2009</setSpec> 	      <setSpec>PSNCRepository:PSNCExternalRepository:cmst:2009</setSpec> 	      <setSpec>PSNCRepository:PSNCExternalRepository</setSpec> 	      <setSpec>PSNCRepository:PSNCExternalRepository:cmst</setSpec> 	      <setSpec>PSNCRepository</setSpec> 	    </header>
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<dc:creator xml:lang="pl"><![CDATA[Praczyk Tomasz]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[evolutionary neural networks]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Poznań]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Assembler Encoding is the Artificial Neural Network encoding method. To date, Assembler Encoding has been tested in the optimization problem and in the so-called predator-prey problem. The paper reports experiments in a next test problem, i.e. in the inverted pendulum problem. To compare Assembler Encoding with other Artificial Neural Network encoding methods in the experiments, two direct encodings were also tested.]]></dc:description>
<dc:publisher xml:lang="pl"><![CDATA[OWN]]></dc:publisher>
<dc:date xml:lang="pl"><![CDATA[2009.06.25]]></dc:date>
<dc:date xml:lang="pl"><![CDATA[2009.09.02]]></dc:date>
<dc:date xml:lang="pl"><![CDATA[2009.06.25]]></dc:date>
<dc:date xml:lang="pl"><![CDATA[2009.01.05]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
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<dc:identifier><![CDATA[https://lib.psnc.pl/dlibra/publication/edition/673/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:lib.psnc.pl:673]]></dc:identifier>
<dc:identifier><![CDATA[http://lib.psnc.pl/Content/673/10.12921_cmst.2009.15.02.177-183_Praczyk.pdf]]></dc:identifier>
<dc:language xml:lang="pl"><![CDATA[eng]]></dc:language>
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