✦ LIBER ✦

A novel modular neural network for imbalanced classification problems

✍ Scribed by Zhong-Qiu Zhao

Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 447 KB
Volume: 30
Category: Article
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2008.06.002

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✦ Synopsis

In this paper, a novel modular neural network is proposed to solve multi-class problems with imbalanced training sets. The proposed model can transform an imbalanced classification problem into a set of symmetrical two-class problems, each of which is solved by single neural network with a simple structure. The results of all neural networks are then combined by averaging or GA method to form a final classification decision. The experimental results show that the proposed method reduces the time consumption for training and improves the classification performance.

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