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Development of techniques of artificial intelligence in identifying the different machined surfaces

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Development of techniques of artificial intelligence in identifying the different machined surfaces
Συγγραφείς: Chou, Yi-Ching
Πηγή: Theses
Στοιχεία εκδότη: Digital Commons @ NJIT
Έτος έκδοσης: 1991
Συλλογή: Digital Commons @ New Jersey Institute of Technology (NJIT)
Θεματικοί όροι: Surfaces (Technology) -- Data processing, Machining -- Data processing, Neural networks, Expert systems (Computer science), Manufacturing
Περιγραφή: This thesis deals with the identification of different machined surfaces with artificial inteligence techniques. There are five kinds of machining operations: grinding, turning, milling, EDM and waterjet which determine the characteristics of resulting surfaces. Topology of various specimens is measured using the surfanylizer. Twenty one parameters are extracted from the measurements to describe the characteristics. In this thesis, we develop neural and expert systems that recoginize and classify surfaces according to the machining methods.
Τύπος εγγράφου: text
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: https://digitalcommons.njit.edu/theses/2466; https://digitalcommons.njit.edu/context/theses/article/3480/viewcontent/njit_etd1991_099.pdf
Διαθεσιμότητα: https://digitalcommons.njit.edu/theses/2466
https://digitalcommons.njit.edu/context/theses/article/3480/viewcontent/njit_etd1991_099.pdf
Αριθμός Καταχώρησης: edsbas.3E200CEF
Βάση Δεδομένων: BASE
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  Data: Development of techniques of artificial intelligence in identifying the different machined surfaces
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  Data: 1991
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  Data: This thesis deals with the identification of different machined surfaces with artificial inteligence techniques. There are five kinds of machining operations: grinding, turning, milling, EDM and waterjet which determine the characteristics of resulting surfaces. Topology of various specimens is measured using the surfanylizer. Twenty one parameters are extracted from the measurements to describe the characteristics. In this thesis, we develop neural and expert systems that recoginize and classify surfaces according to the machining methods.
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      – SubjectFull: Surfaces (Technology) -- Data processing
        Type: general
      – SubjectFull: Machining -- Data processing
        Type: general
      – SubjectFull: Neural networks
        Type: general
      – SubjectFull: Expert systems (Computer science)
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      – SubjectFull: Manufacturing
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              Y: 1991
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