Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Self-adaptive neuro-fuzzy inference systems for classification applications
IEEE Transactions on Fuzzy Systems
Medical data mining by fuzzy modeling with selected features
Artificial Intelligence in Medicine
SERS and ANFIS: Fast Identification of the Presence of Retrovirus in CD4 Cells, Cause of AIDS
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
Medical Diagnosis System of Breast Cancer Using FCM Based Parallel Neural Networks
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
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In this paper, a new approach using ANFIS as a diagnosis system on WBCD problem is proposed. The automatic diagnosis of breast cancer is an important, real-world medical problem. It is occasionally difficult to attain the ultimate diagnosis even for medical experts due to the complexity and non-linearity of the relationships between the large measured factors. It is possibly resolved with using AI algorithms. ANFIS is an AI algorithm which has the advantages of both fuzzy inference system and neural networks. Therefore, it can deal with ambiguous data and learn from the past data. Applying ANFIS as a diagnostic system was considered in our experiment. In addition, the computational performance of diagnosis system is an important issue as well as the output correctness of the inference system. Methods of using recommended inputs generated by the Genetic-Algorithm, Decision-Tree and Correlation-Coefficient computation with ANFIS was proposed to reduce the computational overhead.