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.