Conference paper
A new neural network with fuzzy technique: Disease diagnosis, A case study
6th International Conference on Computers and Information Technology (ICCIT-03) (Dhaka, Bangladesh, 26/12/2003–28/12/2003)
2003
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.
Details
- Title
- A new neural network with fuzzy technique: Disease diagnosis, A case study
- Authors/Creators
- F.A. Sohel (Author/Creator)
- Conference
- 6th International Conference on Computers and Information Technology (ICCIT-03) (Dhaka, Bangladesh, 26/12/2003–28/12/2003)
- Identifiers
- 991005544996807891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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