This study focuses on the efforts to promote the productivity of rubber yield under unpredictable climate behavior currently experience in Malaysia. Artificial Neural Network (ANN) is the method chosen in predicting natural rubber production in relation to climate variables over the past years. One of the explicit criteria of ANN is the ability of the network to deal with non linear data and its capability of learning from historical data.
|Number of pages||12|
|Journal||International Journal of Applied Engineering Research|
|Publication status||Published - 01 Jan 2014|
All Science Journal Classification (ASJC) codes