An introduction to knowledge engineering

Types of knowledge-based systems. Logic, rules and representation. The use of registered names, trademarks in engineering. Expert systems, neural networks, genetic algorithms, case-based reasoning systems and methodologies of intelligent agents.

Подобные документы

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  • To develop an extension to a traditional RDF model of describing knowledge graph in accordance with the standards of the Semantic Web. The concept of Executable Knowledge for Protege based on traditional types of properties within the RDF model.

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  • The value of cluster analysis to explain a number of phenomena. Consideration clustering algorithms computational intelligence, particularly based on neural networks and kernel-based learning. Review their application to five's real world problems.

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  • Cryptography in the Information Age. Information Protection Problems in Computer Systems. The Fundamentals of One-Key Cryptography. Substituion—Permutation Networks with Minimal Controlled Elements. Designing Fast Ciphers Based on Controlled Operations.

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