A Modified Metaheuristic Algorithm Integrated ELM model for Cancer Classification

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Paramita Debata P.; MOHAPATRA P.

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Journal Paper

Paper Information

Journal: Scientia Iranica Year:2022 | Volume:29 | Issue:2 (Transactions D: Computer Science and Engineering and Electrical Engineering) Page(s): 613-631

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Information Journal Paper

Title

A Modified Metaheuristic Algorithm Integrated ELM model for Cancer Classification

Author(s)

Paramita Debata P. | MOHAPATRA P. | Issue Writer Certificate

Keywords

Self-adaptive multi-population-based Elite Jaya algorithm

Extreme Learning Machine

Functional Link Artificial Neural Network

classification model

Abstract

Background: In the rapidly defiled environment, cancer has emerged out as the most threatening disease to human species. Therefore, a robust classification model is required to diagnose cancer with high accuracy and less computational complexity. Method: Here, random parameters of Extreme Learning Machine (ELM) are optimized by Self Adaptive Multi-Population-based Elite strategy Jaya (SAMPEJ) algorithm. This strategy constructs a robust ELM classiﬁ, er named as SAMPEJ-ELM model. This model is tested on Breast cancer, Cervical cancer and Lung cancer datasets. Here, a comparative analysis is presented between the proposed model and basic ELM, Jaya optimized ELM (Jaya-ELM), Teaching Learning Based Optimization (TLBO) optimized ELM (TLBO-ELM), SAMPEJ optimized Neural Network (SAMPEJ-NN), SAMPEJ optimized Functional Link Artificial Neural Network (SAMPEJ-FLANN) models. Numerous performance metrices viz. accuracy, speciﬁ, city, Gmean, sensitivity, F-score with receiver operating characteristic (ROC) curve are used to estimate the proposed model. Moreover, this model is compared with eleven existing models. Results: SAMPEJ-ELM model resulted the highest degree of accuracy, sensitivity and specificity in Breast Cancer (. 9895, 1, . 9853), Cervical Cancer (. 9822, . 9948, . 9828), Lung cancer (. 9787, 1, 1) datasets. Conclusion: The experimental results reveal that SAMPEJ-ELM model classifies both the positive and negative samples of cancer datasets significantly better than others.

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APA: Copy

Paramita Debata, P., & MOHAPATRA, P.. (2022). A Modified Metaheuristic Algorithm Integrated ELM model for Cancer Classification. SCIENTIA IRANICA, 29(2 (Transactions D: Computer Science and Engineering and Electrical Engineering)), 613-631. SID. https://sid.ir/paper/1051820/en

Vancouver: Copy

Paramita Debata P., MOHAPATRA P.. A Modified Metaheuristic Algorithm Integrated ELM model for Cancer Classification. SCIENTIA IRANICA[Internet]. 2022;29(2 (Transactions D: Computer Science and Engineering and Electrical Engineering)):613-631. Available from: https://sid.ir/paper/1051820/en

IEEE: Copy

P. Paramita Debata, and P. MOHAPATRA, “A Modified Metaheuristic Algorithm Integrated ELM model for Cancer Classification,” SCIENTIA IRANICA, vol. 29, no. 2 (Transactions D: Computer Science and Engineering and Electrical Engineering), pp. 613–631, 2022, [Online]. Available: https://sid.ir/paper/1051820/en

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