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	<title>Artificial neural networks &#8211; BIOENGINEER.ORG</title>
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	<title>Artificial neural networks &#8211; BIOENGINEER.ORG</title>
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		<title>Optimizing Hybrid Polymer Composites with ANN and GA</title>
		<link>https://bioengineer.org/optimizing-hybrid-polymer-composites-with-ann-and-ga/</link>
		
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		<pubDate>Fri, 21 Nov 2025 16:04:55 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial neural networks]]></category>
		<category><![CDATA[Artificial neural networks in materials science]]></category>
		<category><![CDATA[Genetic algorithm optimization]]></category>
		<category><![CDATA[Genetic algorithms for composite materials]]></category>
		<category><![CDATA[Hybrid polymer composites]]></category>
		<category><![CDATA[Hybrid polymer composites optimization]]></category>
		<category><![CDATA[Multi-objective optimization strategies]]></category>
		<category><![CDATA[Natural fiber reinforced composites]]></category>
		<category><![CDATA[Natural fiber reinforcement]]></category>
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					<description><![CDATA[In recent years, the quest for sustainable materials has gained traction, particularly within the realm of composite materials. A groundbreaking study by Ikenga, Nwobi-Okoye, and Uche delves into the optimization of hybrid reinforced polymer composites, utilizing plantain and coconut fibers. This research not only addresses the necessity of reducing dependency on synthetic materials but also [&#8230;]]]></description>
		
		
		
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