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Published in: Arabian Journal for Science and Engineering 4/2020

10-07-2019 | RESEARCH ARTICLE - SPECIAL ISSUE - INTELLIGENT COMPUTING and INTERDISCIPLINARY APPLICATIONS

New Approaches in Metaheuristic to Classify Medical Data Using Artificial Neural Network

Authors: Soumya Das, Sarojananda Mishra, Manas Ranjan Senapati

Published in: Arabian Journal for Science and Engineering | Issue 4/2020

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Abstract

Artificial Neural Networks have been applied as a useful technique for classification. Based on the above, we propose a method called Velocity-Enhanced Whale Optimization Algorithm which is hybridized with Artificial Neural Network for classifying and diagnosing the different cancer data like breast cancer, cervical cancer and lungs cancer. The proposed algorithm is compared with four other benchmark algorithms available in the texts, i.e., C4.5, Learning Vector Quantization, Linear Discriminate Analysis and Factorized Distribution Algorithm. Robustness of proposed approach is validated by calculating the Correct Classification Rate, Averaged Square Classification Error which demonstrates that its performance is better than other techniques.

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Metadata
Title
New Approaches in Metaheuristic to Classify Medical Data Using Artificial Neural Network
Authors
Soumya Das
Sarojananda Mishra
Manas Ranjan Senapati
Publication date
10-07-2019
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 4/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-019-04026-y

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