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Efficiency and Interpretability
Efficiency of backpropagation: Each epoch (one iteration through the training set) takes O(|D| * w), with |D| tuples and w weights, but # of epochs can be exponential to n, the number of inputs, in worst case
For easier comprehension: Rule extraction by network pruning
Simplify the network structure by removing weighted links that have the least effect on the trained network
Then perform link, unit, or activation value clustering
The set of input and activation values are studied to derive rules describing the relationship between the input and hidden unit layers
Sensitivity analysis: assess the impact that a given input variable has on a network output. The knowledge gained from this analysis can be represented in rules