02358ntm a2200313 i 4500003000800000005001700008006001900025007000300044008004100047020003300088040002700121100003900148245014100187264003600328264001200364300003500376336002100411337002500432338002300457347002400480500005900504502012400563504003800687520112900725610007401854650004501928650002601973856004501999MY-KuUP20260429105907.0t||||fr|||| 000 0 ta260429t20252025my a|||fr|||| 000 0 eng d  aTHE0010509 (Local)qHardback  aUMPSAbengcUMPSAerda0 aSiti Nurain Binti Hisham,eauthor.10aDevelopment of optimal Ann topology for data driven methane steam reforming using levenberg-marquardt method /cSiti Nurain Binti Hisham 1aKuantan, Pahang :bUMPSA,c2025 4c© 2025  ax, 33 pages :billustrations ;  2rdacontentatext  2rdamediaaunmediated  2rdacarrieravolume  2rdaatext filebPDF  aFaculty of Chemical and Process Engineering Technology  aFinal Year Report (Bachelor of Chemical Engineering Technology) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025  aInclude bibliographical reference3 aMethane 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.20aFaculty of Chemical and Process Engineering TechnologyxDissertations 0aUniversities and collegesxDissertations 0aThesesxDissertations  uhttps://umpir.ump.edu.my/id/eprint/47224