Paper
Optimization of solar systems using artificial neural-networks and genetic algorithms
Published Apr 1, 2004 · S. Kalogirou
Applied Energy
244
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5
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Abstract
Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Study Snapshot
Artificial neural-networks and genetic algorithms can optimize solar systems, maximizing life-cycle savings and reducing design time for engineers.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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