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Results for Artificial neural network

Publications & Outputs

  1. Electron beam weld penetration depth prediction improved by beam characterisation

    Yin, Y., Kennedy, A., Mitchell, T., Sieczkiewicz, N., Jefimovs, V. & Tian, Y., 31/03/2023, In: International Journal of Advanced Manufacturing Technology. 125, 1-2, p. 399-415 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In: Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. High order fuzzy time series forecasting method based on an intersection operation

    Cagcag Yolcu, O., Yolcu, U., Egrioglu, E. & Aladag, C. H., 1/10/2016, In: Applied Mathematical Modelling. 40, 19-20, p. 8750-8765 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Multiplicative neuron model artificial neural network based on Gaussian activation function

    Gundogdu, O., Egrioglu, E., Aladag, C. H. & Yolcu, U., 1/05/2016, In: Neural Computing and Applications. 27, 4, p. 927-935 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Artificial neural network model for water gas shift reaction in a dense Pd-Ag membrane reactor

    Bagnato, G., Liguori, S., Iulianelli, A., Curcio, S. & Basile, A., 18/12/2015, Proceedings of the 6th European Fuel Cell - Piero Lunghi Conference, EFC 2015. ENEA, p. 363-364 2 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Condition monitoring of wind turbines based on extreme learning machine

    Qian, P., Ma, X. & Wang, Y., 12/09/2015, ICAC2015: Proceedings of the 21st International Conference on Automation and Computing. IEEE, p. 37-42 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Model-based and fuzzy logic approaches to condition monitoring of operational wind turbines

    Cross, P. & Ma, X., 02/2015, In: International Journal of Automation and Computing. 12, 1, p. 25-34 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Model-based condition monitoring for wind turbines

    Cross, P. & Ma, X., 2013, Automation and Computing (ICAC), 2013 19th International Conference on. IEEE, 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. An investigation of the digital discrimination of neutrons and γ rays with organic scintillation detectors using an artificial neural network.

    Liu, G., Aspinall, M., Ma, X. & Joyce, M. J., 21/08/2009, In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 607, 3, p. 620-628 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. The integration of spectral and textual information using neural networks for land cover mapping in the Mediterranean

    Berberoglu, S., Lloyd, C. D., Atkinson, P. M. & Curran, P. J., 05/2000, In: Computers and Geosciences. 26, 4, p. 385-396 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review