Modeling the Deformations of a Lock by Means of Neuro-Fuzzy Techniques
نویسندگان
چکیده
The survey and modeling of the deformations of large structures is a major task in engineering geodesy. In this paper, a new procedure to describe and predict the deformations is presented and discussed which is based on Neuro-Fuzzy modeling. Neuro-Fuzzy methods are data driven; they deduce the model directly from the data. Hence, they are mostly convenient if there are no physical models available. They allow the automatic derivation of interpretable rules and the data based simulation of complex processes. In particular, the Adaptive Network based Fuzzy Inference System (ANFIS) technique is used here. It represents a fuzzy inference system which is implemented in the framework of adaptive networks. It is based on a supervised learning algorithm to optimize the parameters of a fuzzy inference system.
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