Neural methods for obtaining fuzzy rules
In previous papers, we presented an empirical methodology based on Neural Networks for obtaining fuzzy rules which allow a system to be described, using a set of examples with the corresponding inputs and outputs. Now that the previous results have been completed, we present another procedure for ob...
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Main Authors | , , , |
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Format | Journal Article |
Language | Catalan |
Published |
1996
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Online Access | Get full text |
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Summary: | In previous papers, we presented an empirical methodology based on
Neural Networks for obtaining fuzzy rules which allow a system to be
described, using a set of examples with the corresponding inputs and
outputs. Now that the previous results have been completed, we present
another procedure for obtaining fuzzy rules, also based on Neural Networks
with Backpropagation, with no need to establish beforehand the labels or
values of the variables that govern the system |
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ISSN: | 1134-5632 1989-533X |