Title: On a hybrid weightless neural system

Authors: T.B. Ludermir, M.C.P. De Souto, W.R. De Oliveira

Addresses: Centre of Informatics, Federal University of Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, PE, Brazil. ' Federal University of Rio Grande do Norte, Campus Universitario, Natal-RN, 59072-970, Brazil. ' Dept. of Statistics and Informatics, Rural Federal University of Pernambuco, Rua Dom Manoel de Medeiros s/n, 52171-030, Recife, PE, Brazil

Abstract: A hybrid system using weightless neural networks (WNNs) and finite state automata is described in this paper. With the use of such a system, rules can be inserted and extracted into/from WNNs. The rule insertion and extraction problems are described with a detailed discussion of the advantages and disadvantages of the rule insertion and extraction algorithms proposed. The process of rule insertion and rule extraction in WNNs is often more natural than in other neural network models.

Keywords: weightless neural networks; WNNs; RAM-based neural networks; rule insertion; rule extraction; grammatical inference; automata theory; Boolean expression; bio-inspired computation; hybrid intelligence systems.

DOI: 10.1504/IJBIC.2009.022778

International Journal of Bio-Inspired Computation, 2009 Vol.1 No.1/2, pp.93 - 104

Published online: 26 Jan 2009 *

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