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Author/Affiliation: Tatiana KosovskayaOpen AccessArticle
14 Pages, 751 KB 
Fuzzy Recognition by Logic-Predicate Network
Abstract:
The paper presents a description and justification of the correctness of fuzzy recognition by a logic-predicate network. Such a network is designed to recognize complex structured objects that can be described by predicate formulas. The NP-hardness of such an object recognition requires to separate the learning process, leaving it exponentially hard, and the recognition process…
Read More(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Artificial Intelligence in Computer Science (CAI))