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Research

Professor Erol Egrioglu

Formerly at Lancaster University

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  1. 2022
  2. Published

    A New Bootstrapped Hybrid Artificial Neural Network Approach for Time Series Forecasting

    Eğrioğlu, E. & Fildes, R., 30/04/2022, In: Computational Economics. 59, 4, p. 1355-1383 29 p.

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

  3. Published

    Deep Learning for Financial Engineering

    Chen, M.-Y., Sangaiah, A. K., Chen, T.-H., Lughofer, E. D. & Egrioglu, E., 30/04/2022, In: Computational Economics. 59, 4, p. 1277-1281 5 p.

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

  4. 2021
  5. Published

    Cloud & fog computing: intelligent applications

    Chen, M.-Y., Lughofer, E. D. & Egrioglu, E., 31/10/2021, In: Enterprise Information Systems. 15, 9, p. 1197-1199 3 p.

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

  6. Published

    Intuitionistic Fuzzy Time Series Functions Approach for Time Series Forecasting

    Egrioglu, E., Bas, E. & Yolcu, U., 31/07/2021, In: Granular Computing. 6, 3, p. 619-629 11 p.

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

  7. Published

    Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network

    Yolcu, U., Egrioglu, E., Bas, E., Yolcu, O. C. & Dalar, A. Z., 30/06/2021, In: Journal of Experimental and Theoretical Artificial Intelligence. 33, 3, p. 383-404 22 p.

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

  8. Published

    Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting

    Yildirim, A. N., Bas, E. & Egrioglu, E., 30/06/2021, In: Journal of Applied Statistics. 48, 13-15, p. 2809-2825 17 p.

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

  9. E-pub ahead of print

    Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization

    Bas, E., Egrioglu, E. & Kolemen, E., 22/06/2021, (E-pub ahead of print) In: Granular Computing. 10 p.

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

  10. Published

    An adaptive forecast combination approach based on meta intuitionistic fuzzy functions

    Tak, N., Egrioglu, E., Bas, E. & Yolcu, U., 22/04/2021, In: Journal of Intelligent and Fuzzy Systems. 40, 5, p. 9567-9581 15 p., 5.

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

  11. 2020
  12. Published

    A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network

    Kocak, C., Dalar, A. Z., Yolcu, O. C., Bas, E. & Egrioglu, E., 1/06/2020, In: Soft Computing. 24, 11, p. 8243-8252 10 p.

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

  13. Published

    Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

    Bas, E., Yolcu, U. & Egrioglu, E., 15/05/2020, In: Journal of Computational and Applied Mathematics. 370, 112656.

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

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