Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular Biodigester. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Modestus_O._Okwu>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Olusegun_David_Samuel>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2F978-3-030-85030-2%5F17>
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rdfs:label	Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular Biodigester. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Modestus_O._Okwu>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Olusegun_David_Samuel>
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dc:title	Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular Biodigester. (xsd:string)
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