MURAL - Maynooth University Research Archive Library



    Items where Author is "Williams, D."


    Group by: Item Type | Date | No Grouping
    Number of items: 5.

    Article

    Kallio, E., Barabash, S., Brinkfeldt, K., Gunell, H., Holmström, M., Futaana, Y., Schmidt, W., Säles, T., Koskinen, H., Riihelä, P., Lundin, R., Andersson, H., Yamauchi, M., Grigoriev, A., Winningham, J.D., Frahm, R.A., Sharber, J.R., Scherrer, J.R., Coates, A.J., Linder, D.R., Kataria, D.O., Kozyra, J., Luhmann, J.G., Roelof, E., Williams, D., Livi, S., Brandt, P. C:son, Curtis, C.C., Hsieh, K.C., Sandel, B.R., Grande, M., Carter, M., Sauvaud, J.-A., Fedorov, A., Thocaven, J.-J., McKenna-Lawler, Susan, Orsini, S., Cerulli-Irelli, R., Maggi, M., Wurz, P., Bochsler, P., Krupp, N., Woch, J., Fränz, M., Asamura, K. and Dierker, C. (2006) Energetic Neutral Atoms (ENA) at Mars: Properties of the hydrogen atoms produced upstream of the martian bow shock and implications for ENA sounding technique around non-magnetized planets. Icarus, 182 (2). pp. 448-463. ISSN 00191035

    Doherty, Sean, Gomm, J.B. and Williams, D. (1997) Experiment design considerations for non-linear system identification using neural networks. Computers & Chemical Engineering, 21 (3). pp. 327-346. ISSN 0098-1354

    Gomm, J.B., Williams, D., Evans, J.T., Doherty, Sean and Lisboa, P.J.G. (1996) Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding. Fuzzy Sets and Systems, 79 (1). pp. 113-126. ISSN 0165-0114

    Book Section

    Gomm, J.B., Doherty, Sean and Williams, D. (1996) Control of pH in-line using a neural predictive strategy. In: UKACC International Conference on Control '96 (Conf. Publ. No. 427). IET, pp. 1058-1063. ISBN 0852966687

    Doherty, Sean, Gomm, J.B., Williams, D. and Eardley, D.C. (1994) Design issues in applying neural networks to model highly non-linear processes. In: 1994 International Conference on Control - Control '94. IET, pp. 1478-1483. ISBN 0852966105

    This list was generated on Mon Dec 8 01:43:58 2025 UTC.