Results for neural networks

Publications & Outputs

1. Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks

   Alharbi, F. & Csala, D., 11/10/2021, In: Energies. 14, 20, p. 1-23 23 p., 6501.

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

2. A Plurality of Practices: Artistic Narratives in HCI Research

   Sturdee, M., Lewis, M., Strohmayer, A., Spiel, K., Koulidou, K., Fdili Alaoui, S. & Davis, J. U., 22/06/2021, C&C '21: Creativity and Cognition. New York: ACM, p. 1-14 14 p. 35

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

3. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

   Finlay, S., 27/05/2021, 4th ed ed. Preston: Relativistic. 236 p.

   Research output: Book/Report/Proceedings › Book

4. Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler

   Shaha, A. P., Singamsetti, M. S., Tripathy, B. K., Srivastava, G., Bilal, M. & Nkenyereye, L., 2020, In: IEEE Access. 8, p. 117467-117482 16 p., 9122496.

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

5. From perceptual to language-mediated categorization

   Westermann, G. & Mareschal, D., 19/01/2014, In: Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 369, 1634, 20120391.

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

6. Generating realistic semantic codes for use in neural network models

   Chang, Y-N., Furber, S. & Welbourne, S., 2012, Proceedings of the 34th Annual Conference of the Cognitive Science Society. Miyake, N., Peebles, D. & Cooper, R. (eds.). Austin, Tx: Cognitive Science Society, p. 198-203 6 p.

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

7. Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment

   Bieroza, M., Baker, A. & Bridgeman, J., 05/2011, In: Environmetrics. 22, 3, p. 256-270 15 p.

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

8. Advances in forecasting with artificial neural networks

   Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

   Research output: Working paper

9. Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

   Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

   Research output: Working paper

10. Skills and earnings revisited

    Johnes, G., 2005, Lancaster University: The Department of Economics, (Economics Working Paper Series).

    Research output: Working paper

11. Curriculum

    Johnes, G., 2003, Lancaster University: The Department of Economics, (Economics Working Paper Series).

    Research output: Working paper

More results »

Activities

1. 2013 International Joint Conference on Neural Networks

   Plamen Angelov (Chair)

   2013

   Activity: Participating in or organising an event types › Participation in conference -Mixed Audience