Applied Fuzzy Systems 1989
DOI: 10.1016/b978-0-12-685242-4.50003-8
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Cited by 7 publications
(10 citation statements)
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“…Apart from clarifying the tolerance, the developed quality control algorithm can be updated according to the results of comparing its evaluation of data acceptance control via the adaptive fuzzy system algorithms and fuzzy neural network [4][5][6][7]. Table 2 Evaluation of temperature field, depending on reproduction errors of given energy Q and melted metal sample value L; TF -temperature fields (oh -overheating, lh -low heating)…”
Section: Welding Settingsmentioning
confidence: 99%
See 1 more Smart Citation
“…Apart from clarifying the tolerance, the developed quality control algorithm can be updated according to the results of comparing its evaluation of data acceptance control via the adaptive fuzzy system algorithms and fuzzy neural network [4][5][6][7]. Table 2 Evaluation of temperature field, depending on reproduction errors of given energy Q and melted metal sample value L; TF -temperature fields (oh -overheating, lh -low heating)…”
Section: Welding Settingsmentioning
confidence: 99%
“…1) Index of the quality of the welded joint (probability of conformity with its requirement specification) is calculated after welding joints on the measured values of welding process parameters x 1 ... x 12 using the control algorithm based on "fuzzy" logic [4][5][6][7]. The data on the welding machine number, names of the welder, master engineer, and the team to implement auxiliary operations (preparation of rails before welding and processing of joints after welding) are put in arrays.…”
Section: Fig 3 Block Diagram Of Two-level Information Management Symentioning
confidence: 99%
“…Oprócz wyjaśnienia kwestii tolerancji rozwijany algorytm sterowania może być aktualizowany zgodnie z wynikami porównania jego oceny dotyczącej akceptacji danych przez adaptację algorytmów i sieci neuronowych [4][5][6][7].…”
Section: Rys 2 Funkcja Konwersji Rozmytej Zgrzewania Oporowego Czołunclassified
“…4): 1) Wskaźnik jakości połączenia spawanego (prawdopodobieństwo zgodności z wymaganiami specyfikacji) obliczany jest po zgrzaniu połączenia na zmierzonych wartościach procesu zgrzewania przy użyciu algorytmu sterującego opartego na logice rozmytej [4][5][6][7]. Dane dotyczące numeru maszyny spawalniczej, nazwiska spawacza, inżyniera oraz członków zespołu do działań pomocniczych (przygotowanie szyn przed zgrzewaniem i obróbka styków spawanych po zgrzewaniu) zostały odpowiednio zgrupowane.…”
Section: Rys 3 Schemat Blokowy Dwupoziomowego Systemu Zarządzania Iunclassified
“…Mamdani designed the first fuzzy controller based on a verbal control protocol [19]. His work demonstrated the applicability of fuzzy expert systems and led the way to numerous applications (see, e.g., [20,21,22,23,24].) However, most of these applications are based not on modeling real world phenomena, but rather on transforming the knowledge of a human expert into a fuzzy expert system, that can replace the human expert.…”
Section: From Verbal Descriptions To a Mathematical Modelmentioning
confidence: 99%