Pregled bibliografske jedinice broj: 40468
BASE MODEL OF KNOWLEDGE IN THE EXPERT SYSTEM STRUCTURE FOR THE WAREHOUSE ACCEPTANCE ACTIVITIES OF THE SHIP CONSTRUCTION PROCESS
BASE MODEL OF KNOWLEDGE IN THE EXPERT SYSTEM STRUCTURE FOR THE WAREHOUSE ACCEPTANCE ACTIVITIES OF THE SHIP CONSTRUCTION PROCESS // ELMAR'99 41st International Symposium Proceedings Electronics in Marine
Zagreb, 1999. str. 234-239 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
BASE MODEL OF KNOWLEDGE IN THE EXPERT SYSTEM STRUCTURE FOR THE WAREHOUSE ACCEPTANCE ACTIVITIES OF THE SHIP CONSTRUCTION PROCESS
Autori
Šimundić, Slavko ; Šimović, Vladimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ELMAR'99
41st International Symposium Proceedings Electronics in Marine
/ - Zagreb, 1999, 234-239
Skup
ELMAR'99
41st International Symposium Proceedings Electronics in Marine
Mjesto i datum
Zadar, Hrvatska, 23.06.1999. - 25.06.1999
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
expert systems; knowledge base; warehouse acceptance activities of the ship construction process
Sažetak
The efficient expert systems for reasoning about complex physical systems together with methods for automatic synthesis of models and learning, represent the new class of second generation expert systems. These technigues will enable the development of tools which are necessary for reasoning about systems in complex, for now not always suitable domains. Thereby not only that hard problems from such domains will be solved more easily,but the expert systems for a wide class of industrial problems, ranging from prognosis and diagnosis to control of industrial processes, will become more feasible. The basic knowledge acguisition principles and technigues concerning the warehouse acceptance activities of the ship construction will be briefly illustrated in the paper. The selection of the most suitable and applicable knowledge representation forms and schemes for the purpose of implementation into the expert system will be given. Applying the A.I. language Turbo Prolog v. 2.0. the software consultation module ( knowledge base core ) has been built on IBM PC/AT for illustrative purposes.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Brodogradnja, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin,
Pravni fakultet, Split,
Pomorski fakultet, Split