By way of example, deep neural networks can certainly have tens of thousands of acquired parameters which can be associated with summary correlations in the data. Associating the model framework and acquired weights with physical fact to realize why a prediction was manufactured remains an open discipline of study.six. Manufacturing classification
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. (3) utilised NIR monitoring in the granule dampness information by coupling the NIR sensor into a fiber optic probe and inserting the process to the fluidized mattress. The two methods suffer from difficulties in holding a clear path among the sensor suggestion as well as granules being measured as particulates can adhere to your inspection windo
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