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In our work we propose implementing fuzzy logic using memristors. Min and max operations are done by antipodally configured memristor circuits that may be assembled into computational circuits. We discuss computational power of such circuits with respect to m-efficiency and experimentally observed behavior of memristive devices. Circuits implemented with(More)
In our work we define a new algebra of operators as a substitute for fuzzy logic. Its primary purpose is for construction of binary dis-criminators for phonemes based on spectral content. It is optimized for design of non-parametric computational circuits, and makes uses of 4 operations: min, max, the difference and generalized additively homogenuous means.
We consider the ability of a very simple feed-forward ne-ural network to discriminate phonemes based on just relative power spectrum. The network consists of two neurons with symmetric nonlinear response over a spectral range. The output of the neurons is subsequently fed to a comparator. We show that often this is enough to achieve complete separation of(More)
We analyze a simplified probability model that assumes normality and homoscedasticity of vowel parameters’ distributions. We arrive at explicit formulae that describe functional relationship between a natural Euclidean distance function in the model and the confusability of vowel categories. We propose a solution to address a common case when confusability(More)