General memory neural network-extending the properties of basis networks to RAM-based architectures
Aleksander Kołcz, Nigel M Allinson · 2002
A common framework for architectures combining multiple vector-quantization of the input space with memory look-up operations is proposed. Properties of the model are discussed and, in particular, a close relationship with basis functions networks (such as RBFs and kernel regression networks) is established.