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WebJun 23, 2024 · The Elman neural network, first proposed by Elman in 1990, is a dynamic recurrent neural network with feedforward connections (Chandra 2015 ). The Elman network consists of four layers: an input layer, a hidden layer, a context layer, and an output layer. WebOct 1, 2024 · On the basis of GA–Elman NN, a fouling resistance prediction model was established with conductivity, pH, and dissolved oxygen as the input variables and … red hood x oc
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