A Fuzzy Neural Network for the Analysis of Experimental Structural Mechanics Problems
A simplified neuro-fuzzy network is formulated. The membership functions of the network weights are computed on the base of learning the single patterns. The network is applied to the interval analysis of two problems from experimental structural mechanics.
KeywordsMembership Function Stress Intensity Factor Training Pattern Interval Arithmetic Crisp Input
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