کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
731037 | 1461520 | 2015 | 11 صفحه PDF | دانلود رایگان |
• Survey on Neuro-Fuzzy applications in technical diagnostics and measurement.
• Historical and functional evolution of Neuro-Fuzzy systems are presented.
• Different Neuro-Fuzzy architectures are overviewed and compared.
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth. These two techniques are somewhat supplementary to each other in a way that what one is lacking of the other can provide. This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks. Generally speaking all type of systems that integrate these two techniques can be called Neuro-Fuzzy systems. Key feature of these systems is that they use input–output patterns to adjust the fuzzy sets and rules inside the model. The paper reviews the principles of a Neuro-Fuzzy system and the key methods presented in this field, furthermore provides survey on their applications for technical diagnostics and measurement.
Journal: Measurement - Volume 67, May 2015, Pages 126–136