Input: , Output: | mappers one reducer | (1) Each mapper constructs one BPNN with inputs, outputs, neurons in hidden layer | (2) Initialize | (3) Bootstrap , | (4) Each mapper inputs , | Input , in hidden layer computes | | | (5) Input , in output layer computes | | | (6) In each output, compute | | (7) In hidden layer, compute | | (8) Update | | | Repeat (3), (4), (5), (6), (7) | Until | | Training terminates | (9) Each mapper inputs , | (10)Execute (4), (5) | (11) Mapper outputs | (12) Reducer collects , | (13) For each | Compute | Repeat (9), (10), (11), (12), (13) | Until is traversed. | (14) Reducer outputs | End |
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