Sequentially adaptive neural networks
Visakan Kadirkamanathan, F. Fallside · 2003
A sequential adaptation scheme for neural networks is proposed. The scheme is formulated as equality constrained optimization tasks. The approach taken in developing the scheme is based on the geometric point of view of pattern recognition and on methods of surface interpolation. The set of training equations for the radial basis function network of Gaussian nodes is developed, and an experiment on its classification performance is carried out.>