General memory neural network-extending the properties of basis networks to RAM-based architectures

Kolcz, A. and Allinson, N. M. (1995) General memory neural network-extending the properties of basis networks to RAM-based architectures. In: 1995 IEEE International Conference on Neural Networks, 27 Nov - 1 Dec 1995, Perth, WA.

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Abstract

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

Item Type:Conference or Workshop Item (Paper)
Additional Information: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
Keywords:neural networks, neural net architecture, memory architecture, vector quantisation
Subjects:G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:5077
Deposited By: Tammie Farley
Deposited On:20 Apr 2012 16:18
Last Modified:13 Mar 2013 09:06

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