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Artificial neural network applications have been used in the field of solar energy for modeling and design of a solar steam generating plant. They are useful in system modeling, such as in implementing complex mapping and system identification.
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Neural networks are computing systems with interconnected nodes that work much like neurons in the human brain. Using algorithms, they can recognize hidden patterns and correlations in raw data, cluster and classify it, and – over time – continuously learn and improve.
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