A Fuzzy Neural Network for the Analysis of Experimental Structural Mechanics Problems
Ewa Pabisek, Magdalena Jakubek, Zenon Waszczyszyn · 2003
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. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.