1. Growing multi-experts network with confidence interval estimation
- Creator:
- Kiong, Loo Chu, Rajeswari, Mandava, and Rao, M. V. C.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- confidence interval estimation and dynamic structure network
- Language:
- English
- Description:
- 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.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public