Results for Artificial neural networks

Publications & Outputs

1. Delve into Neural Activations: Towards Understanding Dying Neurons

   Jiang, Z., Wang, Y., Li, C-T., Angelov, P. & Jiang, R., 1/08/2023, In: IEEE Transactions on Artificial Intelligence. 4, 4, p. 959-971 13 p., 4.

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

2. No Need to Forget, Just Keep the Balance: Hebbian Neural Networks for Statistical Learning

   Tovar, A. E. & Westermann, G., 31/01/2023, In: Cognition. 230, 9 p., 105176.

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

3. An ABAQUS® plug-in for generating virtual data required for inverse analysis of unidirectional composites using artificial neural networks

   Ismail, Y., Wan, L., Chen, J., Ye, J. & Yang, D., 31/10/2022, In: Engineering with Computers. 38, 5, p. 4323-4335 13 p., 5.

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

4. 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

5. A hybrid algorithm based on artificial bat and backpropagation algorithms for multiplicative neuron model artificial neural networks

   Bas, E., Egrioglu, E. & Yolcu, U., 13/04/2020, (E-pub ahead of print) In: Journal of Ambient Intelligence and Humanized Computing. 9 p.

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

6. AR–ARCH Type Artificial Neural Network for Forecasting

   Corba, B. S., Egrioglu, E. & Dalar, A. Z., 1/02/2020, In: Neural Processing Letters. 51, p. 819–836 18 p.

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

7. Feature selection of autoregressive Neural Network inputs for trend Time Series Forecasting

   Crone, S. F. & Häger, S., 31/10/2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., p. 1515-1522 8 p. 7727378. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

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

8. Robust learning algorithm for multiplicative neuron model artificial neural networks

   Bas, E., Uslu, V. R. & Egrioglu, E., 1/09/2016, In: Expert Systems with Applications. 56, p. 80-88 9 p.

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

9. Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting

   Egrioglu, E., Yolcu, U., Aladag, C. H. & Bas, E., 1/04/2015, In: Neural Processing Letters. 41, 2, p. 249-258 10 p.

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

10. Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks

    Egrioglu, E., Aladag, C. H. & Yolcu, U., 15/02/2013, In: Expert Systems with Applications. 40, 3, p. 854-857 4 p.

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

11. A new linear & nonlinear artificial neural network model for time series forecasting

    Yolcu, U., Egrioglu, E. & Aladag, C. H., 1/01/2013, In: Decision Support Systems. 54, 3, p. 1340-1347 8 p.

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

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