Stefka Stoeva

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A modification of the fuzzy backpropagation (FBP) algorithm called QuickFBP algorithm is proposed, where the computation of the net function is significantly quicker. It is proved that the FBP algorithm is of exponential time complexity, while the QuickFBP algorithm is of polynomial time complexity. Convergence conditions of the QuickFBP, resp. the FBP(More)
The Intelligent Software System for Usability Evaluation ISSUE is based on a checklist and on a fuzzy backpropagation (FBP) algorithm developed by authors. A number of criteria which a well-designed hypermedia user interface should aim to meet form the basis of the checklist. The FBP algorithm represents a combined model based on fuzzy logic and neural(More)
This paper presents an extension of the standard backpropagation algorithm (SBP). The proposed learning algorithm is based on the fuzzy integral of Sugeno and thus called fuzzy backpropagation (FBP) algorithm. Necessary and sufficient conditions for convergence of FBP algorithm for single output networks in case of single and multiple training patterns are(More)
A modi®cation of the fuzzy backpropagation (FBP) algorithm called QuickFBP algorithm is proposed, where the computation of the net function is signi®cantly quicker. It is proved that the FBP algorithm is of exponential time complexity, while the QuickFBP algorithm is of polynomial time complexity. Convergence conditions of the QuickFBP, resp. the FBP(More)
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