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Artificial Neural Network (ANN) has many variants having vast application spectrum. The important aspect of any ANN system is the optimization of various design parameters in order to get robust performance with good accuracy. However, there is a lack of generalized rules with respect to various design issues of ANN. Different problems may require different design parameters to get the accurate results. This paper attempts to throw light in this direction. It aims to provide insight and conceptual understanding of various design issues of ANN.
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Kanwar et al. (2019) studied this question.
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