This paper identifies and describes how knowledge based systems (KBSs), fuzzy logic and artificial neural networks (ANNs) can be integrated, and provides a ...
This paper identifies and describes how knowledge based systems (KBSs), fuzzy logic (FL) and artificial neural networks (ANNs) can be integrated, and provides a ...
Integration of knowledge-based systems and neural networks: neuro ...
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A knowledge Petri net model for flexible manufacturing systems and its application for design and verification of FMS controllers · Engineering, Computer Science.
The feasibility and relative merits of integrating knowledge-based systems (KBSs) and artificial neural networks (ANNs) for application to engineering ...
A novel genetic fuzzy/knowledge Petri net model and its applications ... Integration of knowledge-based systems and neural networks: Neuro-expert Petri net models ...
This paper presents a novel genetic (fuzzy) knowledge Petri net based approach for the integration of KBSs, fuzzy logic (FL) and GAs. Two genetic Petri net ...
We realised this by building a hybrid system consisting, first, of graphical visualisation methods and second, a machine learning module generating rules out of ...
Missing: Neuro- Petri
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A new class of Petri nets called the fuzzy neural Petri net (FNPN) is defined, which can be used for representing a fuzzy knowledge base and for fuzzy ...
We show several ways to integrate both paradigms in the areas of explorative data analysis, knowledge acquisition, introspection, and unification. Our approach ...
Missing: Neuro- Petri
In this paper, we present an approach that integrates symbolic rules, neural networks and cases. To achieve it, we integrate a kind of hybrid rules, ...