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© 2020 The Authors.The inputs to the outputs of nonlinear systems could be modeled utilizing device and deep discovering methods, among which artificial neural systems (ANNs) tend to be a promising choice. Nonetheless, loud signals influence ANN modeling adversely; hence, it is vital to explore these signals before the modeling. Herein, two customized and simple techniques, aesthetic evaluation and absolute correlation, are proposed to examine the partnership involving the inputs and outputs of a nonlinear system.
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