Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods

Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visualize such multidimensional data, introducing a new projection on a lattice of hypercube nodes. It also discusses what type of information one may expect from visualization of the activity of hidden and output layers. Detailed analysis of the activity of RBF hidden nodes using this type of visualization is presented in the companion paper.

• Type: Conference
• Year: 2004
• Where: ICAISC
• Authors: Wlodzislaw Duch
• Keywords: Artificial Intelligence, ICAISC 2004, Neural Network Mappings, Output Node Activities, RBF Hidden Nodes