Extension neural network
Mengzhen Wang, Chun‐Chun Hung · 2004
A novel extension neural network (ENN) is proposed in this paper. This new neural network is a combination of extension theory and neural network. It uses an extension distance (ED) to measure the similarity between data and cluster center. The learning speed of the proposed ENN is shown to be faster than the traditional neural networks and other fuzzy classification methods. Moreover, the new scheme has been proved to have high accuracy and less memory consumption. Experimental results from the iris data classification problem verify the effectiveness.