A two-step supervised learning artificial neural network for imbalanced dataset problems

• المؤلفون الرئيسيون: Adam, Asrul, Ibrahim, Zuwairie, Shapiai, Mohd. Ibrahim, Lim, Chun Chew, Lee, Wen Jau, Khalid, Marzuki, Watada, Junzo
• التنسيق: مقال
• منشور في: 2012
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/46543/

In this paper, a two-step supervised learning algorithm of a single layer feedforward Articial Neural Network (ANN) is proposed for solving imbalanced dataset problems. Levenberg Marquart backpropagation learning algorithm is utilized in the first step learning, while the second step learning mechan...