Academic Journal
Development of techniques of artificial intelligence in identifying the different machined surfaces
| 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 |
| Η περιγραφή δεν είναι διαθέσιμη |