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Stage determination of oral cancer using neurofuzzy inference system

In this paper an intelligent technique for the determination of the oral cancer stages is proposed. Fuzzy If-then rules have been defined which governs the decision of the proposed system and then trained by neural network. The system is then simulated on adaptive neurofuzzy system toolbox and results have been generated. The final results show a training error equal to 0.219, which is very close to the tolerance level.