Genetic Optimization of Pattern Classification Using Heart Disease Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 6 Issue 8, August 2017

Genetic Optimization of Pattern Classification Using Heart Disease Data

Kamini Viswakarma, Satish Dehariya

Classification is one of the data mining techniques which is generally used in the prediction of data. Particularly in pattern classification a function is built to map input space into output space using multiple classes. For this purpose, artificial neural networks are very effective to build a model and to test and train the data. For the training process many training algorithms are used to increase the performance. In this paper, we shall make a training of feed forward neural network using Backpropagation algorithm, which is optimized with Genetic Algorithm with heart disease dataset with multiple class. Graphs are plotted to show the accuracy of the classification.

Keywords: Data mining, classification, artificial neural network ANN, Genetic algorithm GA, Back-Propagation Algorithm BPN

Edition: Volume 6 Issue 8, August 2017

Pages: 2050 - 2055

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How to Cite this Article?

Kamini Viswakarma, Satish Dehariya, "Genetic Optimization of Pattern Classification Using Heart Disease Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20176340, Volume 6 Issue 8, August 2017, 2050 - 2055

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