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"Application of Neural Network in developing Virtual Analyzer of Reformate Research Octane Number"

Suharin, Zuraihan Selina (2005) "Application of Neural Network in developing Virtual Analyzer of Reformate Research Octane Number". Universiti Teknologi Petronas. (Unpublished)

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The interest of this Final Year Research Project covers the topic of Application of Artificial Neural Networks for developing virtual analyzer for petroleum quality, Research Octane Number. In general, the work deals with the potential application of neural network technology to Research Octane Number of Reformate estimation. This is done by presenting the system with a representative set of examples describing the problem, namely pairs of input and output samples; the ANN will then extrapolate the mapping between input and output data. The trained network was able to accurately and efficiently estimate the Research Octane Number at a given time. Statistical analysis was also conducted to verify if the key variables tor estimating the Research Octane Number are suitable for network training. The selected key variables in predicting Research Octane Number are, teed flow rate, recycle flow rate, coil outlet temperature of furnace and equivalent temperature bed of reactors. 1068 sample data points are used tor modeling the Research Octane Number which then are divided selectively intro three sections; training, validation and testing data. For this case study, Backpropagation Network and Levenberg Algorithm are used. To evaluate the performance of the neural network model, the trained network was simulated using data that the network has not been trained before. The optimum configuration tor the network is 2 hidden layers which 16 and 4 neurons respectively with R-squared is equal to 0.75. The design of the model is described in depth and further improvement is done for increasing the R -squared, and the MA TLAB source codes are included in appendices.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Material Development
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 22 Oct 2013 09:28
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/9008

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