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(a) Architecture of the best NN used to classify promoter sequences in the sequence-based simulation. There were 288 neurons in the input layer, two neurons in the hidden layer and one neuron in the output layer. (b) Architecture of the best NN used to classify promoters in the stability-based simulation. There were 81 neurons in the input layer, four neurons in the hidden layer and one neuron in the output layer.
