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The classification process of the Counter Propagation neural network (CPN) is investigated. The homogeneity distribution of the codebook vectors is a key element in the accuracy of the classification process. The paper defines an appropriate homogeneity measure that is strongly correlated with the optimal misclassification error. Based on this homogeneity value, the paper proposes three modification...
Experts should analyse systems in order to define would-be faults in systems. As a result of this analysis, there will be a set of priori known faults supporting off-line teaching of neural networks. Unfortunately, it is impossible to define all faults in the design phase. As a result, a priori unknown faults may appear in systems. A priori unknown faults modify the distribution of the input patterns...
Knowledge base systems have a central role in the architecture of intelligent information systems. The most widely used implementation form is based on ontology modelling. The traditional ontology systems store common objective facts which can be managed with the traditional Boolean logic. The reasoning process is usually based on the strict descriptive logic. In the case of modelling the knowledge...
This paper presents a novel method to measure the difficulty of decisions in multi-choice test questions. The concepts are presented with characteristic fuzzy functions and the entropy-based distance of the membership functions will be used to carry the difficulty level. The presented method is tested in a test automated question generation (AQG) framework.
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