Two problems related to the concrete fatigue durability analysis, originated in papers [2,3] and based on the data banks taken from [1], are developed. The first problem deals with the neural simulation of the durability of concrete, defined as a number of cycles of compressive stresses N. The second problem corresponds to the identification of concrete strength associated with N. In the paper a neurofuzzy network FWNN (Fuzzy Weight NN), formulated in [4], was used to obtain better results than approximations by the standard (crisp) Back-Propagation NNs.
CITATION STYLE
Jakubek, M., & Waszczyszyn, Z. (2004). Neural analysis of concrete fatigue durability by the neuro-fuzzy FWNN. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 1075–1080). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_168
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