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http://dx.doi.org/10.7471/ikeee.2020.24.4.1034

Design of a Tree-Structured Fuzzy Neural Networks for Aircraft Target Recognition  

Han, Chang-Wook (Dept. of Electrical Engineering, Dong-Eui University)
Publication Information
Journal of IKEEE / v.24, no.4, 2020 , pp. 1034-1038 More about this Journal
Abstract
In order to effectively process target recognition using radar, accurate signal information for the target is required. However, such a target signal is usually mixed with noise, and this part of the study is continuously carried out. Especially, image processing, target signal processing and target recognition for the target are examples. Since the field of target recognition is important from a military point of view, this paper carried out research on target recognition of aircraft using a tree-structured fuzzy neural networks. Fuzzy neural networks are learned by using reflected signal data for an aircraft to optimize the model, and then test data for the target are used for the optimized model to perform an experiment on target recognition. The effectiveness of the proposed method is verified by the simulation results.
Keywords
aircraft target recognition; fuzzy logic; neural networks; fuzzy neural networks; genetic algorithm;
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