Luttrell S P, October 1989, Hierarchical self-organising networks, Proceedings of 1st International Conference on Artifical Neural Networks (London, UK), IEE Conference Publication (, ed. ), vol. , pp. 2-6
Most neural networks are parametric models, the parameter values of which are chosen (by some training scheme) to optimise some appropriately chosen cost function. We shall derive a training scheme for a non-parametric neural network, which leads to the vector quantiser. Then we shall introduce a new principle - the robust hidden layer principle - in order to relate the vector quantiser to self-organising neural networks. Finally we shall demonstrate how hierarchical self-organising neural networks may be constructed by further application of the robust hidden layer principle.