Abstract
A neural network can approximate a function, but it is impossible
to interpret the result in terms of natural language. The fusion
of neural networks and fuzzy logic in neurofuzzy models provide
learning as well as readability. Control engineers find this
useful, because the models can be interpreted and supplemented by
process operators.
| Original language | English |
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| Number of pages | 28 |
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| Publication status | Published - 1998 |