Abstract
Artificial Neural Network (ANN) is a technique which can map a relationship within a non-linearly related variables. The development of the model involves selection of network topology,estimation of network weights and validation of the model output by comparing with the desired. Group Method of Data Handling (GMDH) is a new variant of ANN which uses multiple algorithms to find the optimal value of the network weights. The present investigation uses GMDH as a predictive model to estimate the indicator value with the help of input parameters.
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Majumder, M., Saha, A.K. (2016). Artificial Neural Network. In: Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-287-308-8_4
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DOI: https://doi.org/10.1007/978-981-287-308-8_4
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