AN INTELLIGENT NEURAL NETWORKS SYSTEM FOR PREDICTION OF PARTICLEBOARD PROPERTIES

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JAHANILOMER Z.; FARROKHPAYAM S.R.; SHAMSIAN M.

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Journal: Iranian Journal of Wood and Paper Science Research Year:2014 | Volume:29 | Issue:2 Page(s): 242-253

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Title

AN INTELLIGENT NEURAL NETWORKS SYSTEM FOR PREDICTION OF PARTICLEBOARD PROPERTIES

Author(s)

JAHANILOMER Z. | FARROKHPAYAM S.R. | SHAMSIAN M. | Issue Writer Certificate

Keywords

MODELINGQ2

ARTIFICIAL NEURAL NETWORKQ2

PARTICLEBOARDQ2

PHYSICAL PROPERTIESQ1

Abstract

In the past decade, ARTIFICIAL NEURAL NETWORKs have been used as a powerful tool for MODELING and prediction in many scientific fields. In this study, application of Neural Networks models to predict the PHYSICAL PROPERTIES of laboratory made PARTICLEBOARD was examined. In order to study the influence of press temperature (oC), mat moisture content (%) and press closing time (sec), 144 boards were produced and the performance of feed-forward multilayer Perceptron (MLP) on the collected data was examined and trained by back propagation (BP) algorithm with Levenberg-Marquardt numerical optimization technique via MATLAB software. This technique will increase network versatility and decrease the effect of undesirable and weak data. The MODELING and prediction was done based experimental data and the forecasting results were compared with real data. The efficiency of these techniques was evaluated with statistical criteria of mean square error (MSE), root mean square error, (RMSE) and the correlation coefficient (R2). RMSE and MSE values of less than R2 for PHYSICAL PROPERTIES and TS2h WA2h obtained during training and testing showed very good performance of the network to determine the properties of the PARTICLEBOARD.

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APA: Copy

JAHANILOMER, Z., FARROKHPAYAM, S.R., & SHAMSIAN, M.. (2014). AN INTELLIGENT NEURAL NETWORKS SYSTEM FOR PREDICTION OF PARTICLEBOARD PROPERTIES. IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH, 29(2), 242-253. SID. https://sid.ir/paper/109518/en

Vancouver: Copy

JAHANILOMER Z., FARROKHPAYAM S.R., SHAMSIAN M.. AN INTELLIGENT NEURAL NETWORKS SYSTEM FOR PREDICTION OF PARTICLEBOARD PROPERTIES. IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH[Internet]. 2014;29(2):242-253. Available from: https://sid.ir/paper/109518/en

IEEE: Copy

Z. JAHANILOMER, S.R. FARROKHPAYAM, and M. SHAMSIAN, “AN INTELLIGENT NEURAL NETWORKS SYSTEM FOR PREDICTION OF PARTICLEBOARD PROPERTIES,” IRANIAN JOURNAL OF WOOD AND PAPER SCIENCE RESEARCH, vol. 29, no. 2, pp. 242–253, 2014, [Online]. Available: https://sid.ir/paper/109518/en

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