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EN
The authors of this article highlight the need to integrate knowledge about the design process of products made from ADI contained in thematic publications. Integration and centralization of the results can be the basis for the planning and execution of subsequent experiments, covering areas previously unexplored. The integrated knowledge can also give rise to the production of new knowledge by discovering relationships and dependencies that are not visible in single experiments. Attempts were made to construct inference algorithms and systems based on artificial intelligence methods. This article presents the results of the use of artificial neural networks and one of the methods in the area of data mining called regression trees to develop models of the ADI manufacturing process.
EN
The article presents two modules operating in a hybrid CAPCAST system implemented in the Department of Applied Computer Science and Modelling, AGH University of Science and Technology, Cracow. These are the modules: CAPCAST-base of producers and CAPCAST-base of materials. Registered producers may benefit from other modules of the system, the base can also be an independent source of knowledge about Polish foundries and their production capacity, and can serve as a kind of platform for the implementation of the basic functions of e-business. The base of materials can also be a source of knowledge about materials, and it allows searching and filtering the lists of materials in terms of user-selected attributes using a multi-level search engine. This module is integrated with the rest of the system and can be used by other modules. The system has been developed at the AGH Department of Applied Computer Science and Modelling in Cracow.
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