## Integration of genetic optimisation and neuro-fuzzy approximation in parametric engineering design

- Kostas M. Saridakis, Argiris J. Dentsoras
- Int. J. Systems Science
- 2009

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@inproceedings{Jantzen1998NeurofuzzyM, title={Neurofuzzy Modelling}, author={Jan Jantzen}, year={1998} }

- Published 1998

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.Â

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