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Fuzzy logic as a basis for modeling concepts was rejected by psychologists because of an influential paper published by Osherson and Smith in 1981. While Osherson and Smith were important and influential psychologists, they were not logicians. A critical analysis of their work reveals a series of tired arguments.
The design of the optimal fuzzy fractional-order PID controller is addressed in this work. A multi-objective genetic algorithm is used to design rule base and membership functions of the fuzzy logic systems optimally. Three conflicting objective functions in both time and frequency domains have been used in Pareto design of the fuzzy fractional-order PID controller. The obtained results reveal the...
Principal curves, as a nonlinear generalization of principal components, are a common tool used in multivariate analysis for ends like dimensionality reduction and feature extraction. However, one of the difficulties that arise when utilizing this technique is that efficiency of existing principal curves algorithms is often low when dealing with large data set owing to high computational complexity...
This paper is based on real application whose task was to recognize characters printed on metal ingots. The problem is that the surface of ingots is very uneven — ingots are either hot, or cut by rough instrument, the printing machine can be worn down, etc. Therefore, the first difficulty was to separate characters from the background and the second one was the fact that the separated characters are...
In this paper, based on least trimmed squares-support vector regression (LTS-SVR), a robust radial basis function network (RRBFN) is proposed in the modeling problem to deal with training data sets that may contain outliers and noises. There are two stages in the proposed RRBFN approach. In stage I, outliers and large noises will be trimmed via the LTS-SVR procedure so that the influences of outliers...
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