BIONET: an artificial neural network model for diagnosis of diseases
An artificial neural network model called BIONET proposed in this paper, 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. Diagnosis of neck and arm pain diseases has been attempted as a case study using BIONET and the results are encouraging. The proposed model has also been tested for solving an important benchmark problem known as XOR problem. In this paper due attention is given for designing and developing an artificial neural network model, diagnosing diseases and solution strategy for solving XOR problem. Major applications of BIONET include diagnosis of diseases and parity checking. Quicker convergence during training is the main advantage of BIONET without loss of accuracy.
diagnosis of diseases neck and arm pain diseases xor problem parity checking multilayer feedforward neural network model delta rule backpropagation learning hard learning problem