Sohaib K.M.  Abujayyab, Najat Qader  Omar, Hamidi Abdul  Aziz, Mohd Sanusi S.  Ahamad, Ahmad Shukri  Yahya, Mutasem Sh.  Alkhasawneh, Siti Zubaidah  Ahmad, 
    Hybrid Neural Network: A Computational Intelligent Model for Solid Waste Landfilling Suitability Mapping,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 11,
    2017,
    Pages 2788-2794,
    ISSN 1816-949x,
    jeasci.2017.2788.2794,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.2788.2794)
    Abstract: This research introduce hybrid network (HRCFNN) for solid waste landfilling suitability mapping. It is a grouping between the recurrent neural network and cascade forward neural network. The optimum structure chosen search via several use cases. Moreover, the accomplished performance exposed that the HRCFNN has no overfitting problem. The suitability index map produced using final structure of the trained HRCFNN. The last outcomes of HRCFNN prove its robustness and the applicability of it for further application in the long-term plan developments of solid waste landfill sites.
    Keywords: Computational intelligent modelling;artificial neural networks;solid waste landfil suitability mapping;performance exposed;GIS