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An Expert System for Supporting the Design and Selection of Mechanical Equipment for Recreational Crafts

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EN
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Expert Systems can be defined as computer programs, whose main task is to simulate a human expert, usually in a narrow field of expertise. Expert Systems have experienced tremendous growth and popularity since their commercial introduction in the early 1970’s. Today, Expert Systems are used in business, science, engineering, manufacturing and other engineering applications such as planning, scheduling, diagnosing equipment failures and are used in almost every stage of the manufacturing process and also in medicine and many other fields. Expert Systems belong to the field of artificial intelligence. An intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for the solution. The purpose of this paper is to present an Expert System which assists with the design of yachts and supports the selection of mechanical equipment for yachts and includes knowledge in the field of yachting engineering. Using the presented Expert System reduces the time during the design and production preparation process.
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  • Parker Poland Ltd., Warsaw, Poland
Bibliografia
  • [1] Mulawka J.: Systemy ekspertowe. WNT. Warszawa 1996, s. 20. (in Polish)
  • [2] Knosala R. i Zespół: Zastosowania metod sztucznej inteligencji w inżynierii produkcji. WNT. Warszawa. 2002, s. 2. (in Polish)
  • [3] Tkaczyk W.: Inżynieria Wiedzy. Akademicka Oficyna Wydawnicza EXIT. Warszawa 2010, s. 113. (in Polish)
  • [4] Alonso F., Martinez L., Perez A. and Valente J.P., “Cooperation between expert knowledge and data mining discovered knowledge: Lesson learned”, Expert Systems with Applications, vol.39, 2012, pp. 7524‐7535.
  • [5] Nadiru A.B., „Export Systems: Applications in Engineering and Manufacturing”. Prentice Hall, 1992.
  • [6] Gonciarz T., Perzyk M.: An expert system for supporting the production of pleasure boats. Management Systems in Production Engineering. No 3 (11), 2013.
  • [7] Michalik K.: Integrated package ofartificial intelligence Aitech Sphinx 4.5. Aitech Intelligent Laboratory. Katowice 2006, pages 1‐60.
  • [8] Buchalski Z.: Knowledge Management of Expert System Based on the Symbolic Representation of Natural Language Sentences. W: Information Systems Architecture and Technology, L. Borzemski, A. Grzech, J. Świątek, Z. Wilimowska (eds.). Oficyna Wydawnicza Politechniki Wrocławskiej. Wrocław 2006, s. 75‐85.
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bwmeta1.element.baztech-26ed1e27-7c1b-4b3e-82f5-432892f85f0b
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