A new adaptive neuro-fuzzy solution for optimization of the parameters in the digital holography setup
Autor: | Zehra Saraç, Gulhan Ustabas Kaya, Okan Erkaymaz |
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Přispěvatelé: | Zonguldak Bülent Ecevit Üniversitesi |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Optimization
0209 industrial biotechnology Design Neuro-fuzzy Computer science Holography Computational intelligence 02 engineering and technology Fuzzy logic Theoretical Computer Science law.invention System model 020901 industrial engineering & automation Interference (communication) law 0202 electrical engineering electronic engineering information engineering Electronic engineering Image quality Process (computing) Digital holography Fuzzy interference system Adaptive neuro-fuzzy interference system 020201 artificial intelligence & image processing Geometry and Topology Software |
Popis: | In this paper,a fuzzy interference and an adaptive neuro-fuzzy interference system models have been presented in order to accelerate designing of the digital holographic setup without experiment. The setting parameters of experimental holographic setup, which affect the quality of images obtained from reconstructed holograms, are predicted digitally by proposed models before the recording process. Hence, we reduce the required time for designing of digital holographic setup with optimization process. The adaptive neuro-fuzzy interference system model for the optimization of the digital holographic setup is first attempt in the literature. The accuracy of the proposed models is examined by comparing the presented models and actual calculated experimental root-mean-square values. As a result, the accuracy of the adaptive neuro-fuzzy interference system shows the better performance than the fuzzy interference system. Moreover, the design of experimental setup can be occurred numerically in a short time by using adaptive neuro-fuzzy interference system models. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
Databáze: | OpenAIRE |
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