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The simulation and identification of flotation processes by use of a knowledge based model

International Journal of Mineral Processing, 1992
Abstract This paper illustrates the application of a knowledge based system to perform fault-diagnosis, dynamic simulation and the optimization of batch and continuous flotation processes. The proposed approach is essentially useful to simulate ill-defined dynamic processes where existing fundamental and empirical models fail owing to their lack of ...
Reuter M.A., van Deventer J.S.J.
openaire   +1 more source

A Knowledge Identification Framework for Component based Dependency Analysis Process

International Journal of Software Engineering and Its Applications, 2013
Knowledge engineering applied to the Component Based Software Engineering (CBSE) field is an important research area that focuses on identification, specification and validation of knowledge and experiences acquired during various phases of component based software development cycle.
null Ratneshwer, A. K. Tripathi
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Knowledge-Based Adaptive Identification for Process Control and Modelling

1993
Identification methods mainly based on recursive least-squares algorithms have been well developed in recent years. However, almost all existing identification, control and modelling techniques are completely based upon mathematical computations that cannot thoroughly describe many characteristics of a real physical system such as qualitative features.
Hong Y. Xu, C. R. Baird, D. Riordan
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A Business Process Meta-Model for Knowledge Identification Based on a Core Ontology

2016
Business process modeling (BPM) has become primary concern for any successful organization to improve the management of their individual and collective crucial knowledge. In this paper, we propose a new multi-perspective meta-model of business processes modeling for knowledge management (KM), called BPM4KI (Business Process Meta-Model for Knowledge ...
Mariam Ben Hassen   +2 more
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Parameter identification of process simulation models as a means for knowledge acquisition and technology transfer

AIP Conference Proceedings, 2012
Process simulation models are usually empirical, therefore there is an inherent difficulty in serving as carriers for knowledge acquisition and technology transfer, since their parameters have no physical meaning to facilitate verification of the dependence on the production conditions; in such a case, a 'black box' regression model or a neural network
Dimitris F. Batzias, Konstantina Ifanti
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Identification and Measurement of the Knowledge-Sharing Requirements in Collaborative Business Processes

2005
This chapter introduces a modelling language called Awareness Net for both representation as well as measuring the knowledge-sharing requirements in collaborative business processes. It is a conceptual model that facilitates representation and analysis of knowledge-sharing requirements of the actors in collaborative business processes.
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Modeling And Identification Of Biotechnological Systems Using Knowledge Processing Systems

2023 14th National Conference with International Participation (ELECTRONICA), 2023
Anelia Tzanova   +3 more
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Identification of Aflatoxin Knowledge Areas for Developing Natural Language Processing Chatbot Datasets

2023 First International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC), 2023
Pamela Chogo   +2 more
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Customer Experiences Identification Process using Bloom Taxonomy and Customer Knowledge Management

2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), 2022
Korakod Charoensap, Teeraporn Saeheaw
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