GROWING CELL STRUCTURE AND NEURAL GAS Incremental Neural Networks
暂无分享,去创建一个
Incremental artificial neural networks grow when they learn and shrink when they forget. Competitive Hebbian learning generates the network structure by addition and removal of cells and links. Thus, no network design phase is necessary. The growing cell structure and the growing neural gas network may replace common feed-forward networks in a lot of classification and interpolation tasks.
[1] Johannes Steffens,et al. Implementation of the Supervised Growing Cell Structure on the CNAPS Neurocomputer , 1995 .
[2] Bernd Fritzke,et al. Growing cell structures--A self-organizing network for unsupervised and supervised learning , 1994, Neural Networks.
[3] Bernd Fritzke,et al. A Growing Neural Gas Network Learns Topologies , 1994, NIPS.
[4] Claude Amsler,et al. The crystal barrel spectrometer at LEAR , 1992 .