Exploration and mining learning robot of autonomous marine resources based on adaptive neural network controller

• Autorzy: Pan L.

Identyfikatory

DOI

10.2478/pomr-2018-0115

• Języki publikacji: EN

Abstrakty

EN

To study the autonomous learning model of the learning robot for marine resource exploration, an adaptive neural network controller was applied. The motion characteristics of autonomous learning robots were identified. The mathematical model of the multilayer forward neural network and its improved learning algorithm were studied. The improved Elman regression neural network and the composite input dynamic regression neural network were further discussed. At the same time, the diagonal neural network was analysed from the structure and learning algorithms. The results showed that for the complex environment of the ocean, the structure of the composite input dynamic regression network was simple, and the convergence was fast. In summary, the identification method of underwater robot system based on neural network is effective.

Słowa kluczowe

EN

adaptive neural network; marine resources; learning robot

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2018
• Tom: S 3
• Strony: 78--83
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Pan L.

• School of Management Hefei Uniwersity of Technology Hefei, 230009 China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).