Comparison of Back propagation neural network and Back propagation neural network Based Particle Swarm intelligence in Diagnostic Breast Cancer

摘要

Breast cancer is the most commonly diagnosed cancer and the most common cause of death in women all over the world. Use of computer technology supporting breast cancer diagnosing is now widespread and pervasive across a broad range of medical areas. Early diagnosis of this disease can greatly enhance the chances of long-term survival of breast cancer victims. Artificial Neural Networks (ANN) as mainly method play important role in early diagnoses breast cancer. This paper studies Levenberg Marquardet Backpropagation(LMBP) neural network and Levenberg Marquardet Backpropagation based Particle Swarm Optimization(LMBP-PSO) for the diagnosis of breast cancer. The obtained results show that LMBP and LMBP based PSO system provides higher classification efficiency. But LMBP based PSO needs minimum training and testing time. It helps in developing Medical Decision System (MDS) for breast cancer diagnosing. It can also be used as secondary observer in clinical decision making.