- author = "Arpit Bhardwaj and Aruna Tiwari and Dharmil Chandarana and Darshil Babel",
- title = "A Genetically Optimized Neural Network for Classification of Breast Cancer Disease",
- booktitle = "7th International Conference on Biomedical Engineering and Informatics (BMEI 2014)",
- year = "2014",
- month = oct,
- pages = "693--698",
- keywords = "genetic algorithms, genetic programming, ANN, SVN",
-
DOI = "
doi:10.1109/BMEI.2014.7002862",
- size = "6 pages",
- abstract = "In this paper, we propose a new, Genetically Optimised Neural Network (GONN) algorithm, for solving classification problems. We evolve a neural network genetically to optimise its structure for classification. We introduce new crossover and mutation operations which differ from a normal Genetic programming life-cycle to reduce the destructive nature of these operations. We use the GONN algorithm to classify breast cancer tumours as benign or malignant. Accurate classification of a breast cancer tumour is an important task in medical diagnosis. Our algorithm gives better classification accuracy of almost 4percent and 2percent more than a Back Propagation neural network and a Support Vector Machine respectively.",
-
notes = "Discipline of Comput. Sci. & Eng., Indian Inst. of
Technol. Indore, Indore, India
Also known as \cite{7002862}",
