PREDICTION OF DIMETHYL ETHER DENSITY USING ARTIFICIAL NEURAL NETWORK

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NIKKHOLGH M.R.; MOGHADASSI A.R.; PARVIZIAN F.; AGHA AMINIHA A.R.

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Seminar Paper

Paper Information

Seminar: CHEMICAL ENGINEERING CONGRESS AND EXHIBITION
Year:2009 | Issue:6

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Title

PREDICTION OF DIMETHYL ETHER DENSITY USING ARTIFICIAL NEURAL NETWORK

Author(s)

NIKKHOLGH M.R. | MOGHADASSI A.R. | PARVIZIAN F. | AGHA AMINIHA A.R. | Issue Writer Certificate

Keywords

NEURAL NETWORK

DIMETHYL ETHER

DENSITY

THERMODYNAMIC PROPERTIES

Abstract

IN THIS WORK, THE ABILITY OF ARTIFICIAL NEURAL NETWORK BASED ON BACK-PROPAGATION ALGORITHM TO PREDICTING OF DIMETHYL ETHER DENSITY HAS BEEN INVESTIGATED. SEVERAL FEED-FORWARD NEURAL NETWORK WITH DIFFERENT ARCHITECTURES WERE TRIED TO DETERMINE THE BEST NETWORK CONFIGURATION. THE LEVENBERG-MARQUARDT ALGORITHM IS APPLIED AS THE TRAINING RULE. COMPARISONS OF RESULTS SHOW, A GOOD AGREEMENT BETWEEN EXPERIMENTAL DATA AND ARTIFICIAL NEURAL NETWORK PREDICTIONS. RESULTS PROVE THAT ARTIFICIAL NEURAL NETWORK CAN BE A SUCCESSFUL TOOL TO EFFECTIVELY REPRESENT COMPLEX NONLINEAR SYSTEMS, IF DEVELOPED EFFICIENTLY. AN IMPORTANT FEATURE OF THE MODEL IS ITS NEEDLESSNESS TO ANY THEORETICAL KNOWLEDGE OR HUMAN EXPERIENCE DURING THE NETWORK TRAINING PROCESS.

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APA: Copy

NIKKHOLGH, M.R., MOGHADASSI, A.R., PARVIZIAN, F., & AGHA AMINIHA, A.R.. (2009). PREDICTION OF DIMETHYL ETHER DENSITY USING ARTIFICIAL NEURAL NETWORK. INTERNATIONAL CHEMICAL ENGINEERING CONGRESS AND EXHIBITION. SID. https://sid.ir/paper/909049/en

Vancouver: Copy

NIKKHOLGH M.R., MOGHADASSI A.R., PARVIZIAN F., AGHA AMINIHA A.R.. PREDICTION OF DIMETHYL ETHER DENSITY USING ARTIFICIAL NEURAL NETWORK. 2009. Available from: https://sid.ir/paper/909049/en

IEEE: Copy

M.R. NIKKHOLGH, A.R. MOGHADASSI, F. PARVIZIAN, and A.R. AGHA AMINIHA, “PREDICTION OF DIMETHYL ETHER DENSITY USING ARTIFICIAL NEURAL NETWORK,” presented at the INTERNATIONAL CHEMICAL ENGINEERING CONGRESS AND EXHIBITION. 2009, [Online]. Available: https://sid.ir/paper/909049/en

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