Citations in impact factor journals
The relative utility of regression and artificial neural networks models for rapidly predicting the capacity of water supply reservoirs Environmental Modelling and Software Vol. 24, Issue 10, 1233, 2009 |
Multiple Linear Regression and Artificial Neural Networks Models for Generalized Reservoir Storage–Yield–Reliability Function for Reservoir Planning Journal of Hydrologic Engineering Vol. 14, Issue 7, 731, 2009 |
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Ismail, Z. and A.J. Faridatul, 2008. A backpropagation method for forecasting electricity load demand. J. Applied Sci., 8: 2428-2434. CrossRefDirect Link |
Jafari, S., H.R. Abdolmohammadi, H. Eliasi, M.B. Menhaj and M.R. Rajati, 2008. A novel intelligent method of experiment design for modeling. J. Applied Sci., 8: 2687-2694. CrossRefDirect Link |
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Neural Network in Modeling Malaysian Oil Palm Yield American Journal of Applied Sciences Vol. 8, Issue 8, 796, 2011 |
A Backpropagation Method for Forecasting Electricity Load Demand Journal of Applied Sciences Vol. 8, Issue 13, 2428, 2008 |
A novel intelligent method of experiment design for modeling. Journal of Applied Sciences Vol. 8, Issue 15, 2687, 2008 |
How to cite this article
Azme Khamis, Zuhaimy Ismail, Khalid Haron and Ahmad Tarmizi Mohammed, 2006. Neural Network Model for Oil Palm Yield Modeling. Journal of Applied Sciences, 6: 391-399.
DOI: 10.3923/jas.2006.391.399
URL: https://scialert.net/abstract/?doi=jas.2006.391.399
DOI: 10.3923/jas.2006.391.399
URL: https://scialert.net/abstract/?doi=jas.2006.391.399