The relative order and inverses of recurrent networks

Kambhampati, C.; Manchanda, S.; Delgado, A.; Green, G.G.R.; Warwick, K.; Tham, M.T.

doi:10.1016/0005-1098(95)00098-4

All Outputs (3)

Stable linearization using multilayer neural networks (1996)
Presentation / Conference Contribution
Delgado, A., Kambhampati, C., & Warwick, K. (1996, September). Stable linearization using multilayer neural networks. Presented at UKACC International Conference on Control. Control '96, Exeter, UK

The main limitation of linearization theory that prevents its application in practical problems is the need for an exact knowledge of the plant. This requirement is eliminated and it is shown that a multilayer network can synthesise the state feedbac... Read More about Stable linearization using multilayer neural networks.

A cognitive approach to road recognition with novel feature indicators (1996)
Journal Article
Varley, D., Visvalingam, M., & Wright, C. (1996). A cognitive approach to road recognition with novel feature indicators. Computer Journal, 39(9), 751-756. https://doi.org/10.1093/comjnl/39.9.751

This paper outlines a simple strategy for recognition of prototypical cases of urban roads from their outline forms alone. Two new form indicators, namely exits and occupancy, are used together with average width to label regions as roads. They prove... Read More about A cognitive approach to road recognition with novel feature indicators.

The relative order and inverses of recurrent networks (1996)
Journal Article
Kambhampati, C., Manchanda, S., Delgado, A., Green, G., Warwick, K., & Tham, M. (1996). The relative order and inverses of recurrent networks. Automatica : the journal of IFAC, the International Federation of Automatic Control, 32(1), 117-123. https://doi.org/10.1016/0005-1098%2895%2900098-4