Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Fast PSO-ELM for Cancer Classification


Affiliations
1 Department of Computer Science, Erode Arts and Science College, Erode-639009, India
     

   Subscribe/Renew Journal


Cancer is caused by uncontrolled and abnormal cells and it may spread through the blood stream or lymphatic system to further parts of the body. To explore the possibilities for classification of cancer, the researchers are started to perform using gene expression data. But still there are a lot of issues which is to be solved. So, this work introduced the fast PSO with ELM technique for cancer classification problems. This work implemented fast PSO method for multicategory classification of cancer cells. The PSO will provide the optimized output as the input to ELM. Evaluation is carried out for the proposed Fast PSO-ELM and the proposed approach achieves better classification accuracy.

Keywords

Cancer Classification, Gene Expression, ELM, Fast PSO-ELM.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 458

PDF Views: 2




  • A Fast PSO-ELM for Cancer Classification

Abstract Views: 458  |  PDF Views: 2

Authors

V. Sivaraj
Department of Computer Science, Erode Arts and Science College, Erode-639009, India
S. Sukumaran
Department of Computer Science, Erode Arts and Science College, Erode-639009, India

Abstract


Cancer is caused by uncontrolled and abnormal cells and it may spread through the blood stream or lymphatic system to further parts of the body. To explore the possibilities for classification of cancer, the researchers are started to perform using gene expression data. But still there are a lot of issues which is to be solved. So, this work introduced the fast PSO with ELM technique for cancer classification problems. This work implemented fast PSO method for multicategory classification of cancer cells. The PSO will provide the optimized output as the input to ELM. Evaluation is carried out for the proposed Fast PSO-ELM and the proposed approach achieves better classification accuracy.

Keywords


Cancer Classification, Gene Expression, ELM, Fast PSO-ELM.