GROWING MULTI-EXPERTS NETWORK WITH CONFIDENCE INTERVAL ESTIMATION

摘要

A simple and novel method is proposed to estimate the confidence interval of any neural network. A recently introduced Growing Multi-Experts Network (GMN) is embedded with confidence interval estimator whose output directly indicates the defined measure. One-step hybrid learning is employed in which the unsupervised learning method of Growing Neural Gas (GNG) and the supervised learning are implemented simultaneously. Illustrative examples together with the application examples clearly place the utility of the defined measure in sharper focus.