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Titlebook: Neural Networks Theory; Alexander I. Galushkin Book 2007 Springer-Verlag Berlin Heidelberg 2007 Applications of Fuzzy Logic.Fuzziness.Fuzz

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e been developed and employed in the computational simulations of human aortic tissues under various (patho)physiological conditions. Thus, in this chapter, we review some of the most critical advances and developments in experimental approaches and computational modeling strategies to characterize
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he reader will obtain an overall view of solid base catalysis and gain insight into the versatilityof the reactions to which solid base catalysts can be utilized. The concept and significance of solid base catalysis are discussed, followed by descriptions of various methods for the characterization
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section, key ash-formation phenomena are discussed for various pure biomass fuels and selected typical coals. This is done on the basis of exemplified results, generated with the techniques discussed in the foregoing section. For slagging and fouling this is also backed up with data from full-scale
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Book 2007ounder of Fuzziness.."Professor Galushkin, a leader in neural networks theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization, concepts that are solidly grounded in Russian tradition. His theory is expansive: covering not just the tradi
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Book 2007searchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world."..Rober
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