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Abstract

The artificial neural network model proposed in this paper, is based on biological nervous systems, called BIONET (BIOlogical Neural NETwork). It is used for diagnosis of diseases. The diseases are classified based on a priori knowledge. BIONET is a multilayer feedforward neural network with known number of hidden nodes. Quicker convergence during training is the main advantage of BIONET without loss of accuracy. In this paper due attention is given for designing and developing an artificial neural network model, diagnosing diseases. Diagnosis of enteron pathology diseases has been attempted as a case study using BIONET and the results are encouraging.



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Issue: Vol 7 No 4&5 (2004)
Page No.: 89-98
Published: May 31, 2004
Section: Article
DOI: https://doi.org/10.32508/stdj.v7i4&5.3201

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Bac, L., & Nghi, T. (2004). BUILDING DIAGNOSIS OF DISEASE.SYSTEMS BASED ON NEURAL NETWORK TECHNIQUE. Science and Technology Development Journal, 7(4&5), 89-98. https://doi.org/https://doi.org/10.32508/stdj.v7i4&5.3201

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