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It starts by data collection, followed by the preprocess step to clean the data. Then, the data is divided into training, validation, and testing. Then, the ANN is trained and the parameter is optimized using Taguchi method. The final ANN model with 15 neurons in the hidden layer is used to classify the test (unseen) data.
