Journal of Engineering and Applied Sciences

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Hybrid Neural Network: A Computational Intelligent Model for Solid Waste Landfilling Suitability Mapping

Sohaib K.M. Abujayyab, Najat Qader Omar, Hamidi Abdul Aziz, Mohd Sanusi S. Ahamad, Ahmad Shukri Yahya, Mutasem Sh. Alkhasawneh and Siti Zubaidah Ahmad
Page: 2788-2794 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

Sohaib K.M. Abujayyab, Najat Qader Omar, Hamidi Abdul Aziz, Mohd Sanusi S. Ahamad, Ahmad Shukri Yahya, Mutasem Sh. Alkhasawneh and Siti Zubaidah Ahmad. Hybrid Neural Network: A Computational Intelligent Model for Solid Waste Landfilling Suitability Mapping.
DOI: https://doi.org/10.36478/jeasci.2017.2788.2794
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.2788.2794