Abstract
The paper analyses the issues related to the use of neuro-fuzzy techniques in the industrial field focusing on the characteristics that influence the acceptance of the various paradigms. The advantages provided by these techniques and the limits that prevent their wide acceptance in the industrial framework are depicted. Exemplar case study are presented and future perspective and guidelines for the successful integration of soft computing techniques within industry are outlined.
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Colla, V., Vannucci, M., Reyneri, L.M. (2016). Neuro-Fuzzy Techniques and Industry: Acceptability, Advantages and Perspectives. In: Bassis, S., Esposito, A., Morabito, F., Pasero, E. (eds) Advances in Neural Networks. WIRN 2015. Smart Innovation, Systems and Technologies, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-33747-0_35
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DOI: https://doi.org/10.1007/978-3-319-33747-0_35
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