Several types of data,such as text,pictures,and voice,can be used as inputs in network information processing.
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Q2: Weights are crucial in network information processing
Q3: Neural network models are designed as exact
Q4: Implementation of an ANN often requires interfaces
Q5: Parallel processing resembles the way the brain
Q6: Typically,the input-output transformation process at the individual
Q8: In neural network,larger data sets increase processing
Q9: Training of artificial neural networks is an
Q10: In network information processing,each input corresponds to
Q11: In general,ANN are sui for problems whose
Q12: Minotaur was implemented to prevent fraud.In the
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