| 摘要 |
A systematic method of generating a neuro-fuzzy structure a system comprises: recording data relating sample system outputs to sample system inputs, granulating the data to identify rules relating the inputs to the outputs, measuring information loss during the granulation process to enable identification of an optimum number of rules, and constructing the network so that it has a plurality of processing elements corresponding to the rules.
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