A new neural network with fuzzy technique: Disease diagnosis, A case study

Sohel, F.A. (2003) A new neural network with fuzzy technique: Disease diagnosis, A case study. In: 6th International Conference on Computers and Information Technology (ICCIT-03), 26 - 28 December 2003, Dhaka, Bangladesh

Abstract

Neural networks and Fuzzy systems [1], [2], [3], [4] are being used in the field of artificial intelligence (AI). A hybrid neuro-fuzzy[5], [6] technique can made various implementations easier. Backpropagation [7], [8], [9] is a powerful algorithm in neural networks and also Kohonen [10] Neural Network has self-organizing power. In this paper I've used a neuro-fuzzy technique to recognize a system, which can detect some common diseases from their physical symptoms. I've used a combination of feedforward part of the backpropagation algorithm and Kohonen self-organizing neural networks to train the networks.

Item Type:	Conference Paper
URI:	http://researchrepository.murdoch.edu.au/id/eprint/28570

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