Neural Network Optimized by Improved Genetic Algorithms to Diagnosis

In this study, diagnosis was performed with an evolutionary artificial neural network approach based on adaptive genetic algorithm with strong macro-search capability and global optimization, which was used to optimize initial weights and thresholds of the network. Simulation showed that the algorithm could be used for computer aided diagnosis after a large number of liver abscess cases had learned.