02424ntm a2200349 i 4500 MY-KuUP 20260429112643.0 t||||fr|||| 000 0 ta 260429t20252025my a|||fr|||| 000 0 eng d THE0010510 (Local) Hardback UMPSA eng UMPSA rda FTKKP .A95 2025 r Bc Norazliza Binti Mohamad Ali, author. Conceptual design of pressurized water scrubbing for biomethane production / Norazliza Binti Mohamad Ali Kuantan, Pahang : UMPSA, 2025 © 2025 xi, 39 pages : illustrations ; rdacontent text rdamedia unmediated rdacarrier volume rda text file PDF Faculty of Chemical and Process Engineering Technology Final Year Report (Bachelor of Chemical Engineering Technology) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025 Include bibliographical reference Methane steam reforming is a crucial process for hydrogen and syngas production, with potential applications in sustainable energy and industrial sectors. Accurate prediction of reforming products is essential for process efficiency, environmental impact assessment, and catalyst development. This study to development the topology of ANN model using Levenberg-Marquardt method. The approach involves developing models, selecting transfer functions, different hidden layers, number of nodes, evaluating model accuracy and analyzing implications. The goal is to identify the most suitable model for predicting methane steam reforming products, which could have potential applications in sustainable energy and industrial sectors. Using MATLAB software with Artificial Neural Networks (ANNs) with Levenberg-Marquardt can optimize methane steam reforming processes, enhance productivity and cost-effectiveness. Accurate prediction of reforming products is crucial for assessing the process's environmental impact and contributing to catalyst development, improving performance and cost-effectiveness in methane steam reforming. Faculty of Chemical and Process Engineering Technology Dissertations Universities and colleges Dissertations Theses Dissertations https://umpir.ump.edu.my/id/eprint/47225 lcc PSM 0 0 lcc 0 0 10000 10000 2026-04-29 0 FTKKP .A95 2025 r Bc T000004203 2026-04-29 11:27:20 2026-04-29 PSM 104788 104794