A Novel Approach for Data Classification Using Neural Networks

Abstract

In this paper, an approach of multi-view learning, with multilayer perceptron (MLP) and radial basis functions (RBF) with dynamic decay adjustment (DDA), has been proposed. Three different categories of semi-supervised learning are multi-view training, co-training and self-training. Here we have only used self-training and multi-view learning mechanisms to train the classifier. To test the accuracy of the algorithms, we have taken five real-time datasets from UCI Machine Learning Repository. The classifier is trained using the perceptron learning rule with its supervised and semi-supervised (self-training) versions and MLP with RBF (multi-view learning). The average classification accuracies have been compared and the proposed algorithm outperforms the former versions on the specified training sets. The significant improvement in performance obtained using multi-view learning can be used for various fields such as detecting changes of images, speech recognition and biometric identification.

KEYWORDS:

• Data classification
• Dynamic decay adjustment
• Machine learning
• Multilayer perceptron
• Radial basis function
• UCI machine learning repository

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Suvendra Kumar Jayasingh

Suvendra Kumar Jayasingh completed his Bachelor of Engineering in computer science and engineering (CSE) with honours from the University College of Engineering (UCE), Burla, Odisha, India (Now VSSUT, Burla) in 2003. He got selected by Odisha Public Services Commission (OPSC) in 2005 to serve in the Institute of Management and Information Technology (IMIT), Cuttack, a Constituent College of BijuPatnaik University of Technology (BPUT), Odisha, India. He completed MTech in computer science and engineering (CSE) from JRN RVU, Udaipur in 2007. He got his PhD in computer science and IT from North Orissa University, Baripada in 2020. His main research work focuses on machine learning, data mining, database design, computational intelligence, and soft computing. He has 18 years of teaching and research experience. He is a life member of ISTE. Email: [email protected]

Debasis Gountia

Debasis Gountia received the Master of Technology degree in computer science and engineering from the Indian Institute of Technology (IIT) Kharagpur, West Bengal, India in 2010. He received the Bachelor of Technology degree in computer science and engineering from the University College of Engineering (UCE) Burla of BijuPatnaik University of Technology (BPUT) Rourkela, India. He received his PhD award in computer science and engineering from the IIT Roorkee, Uttarakhand, India. He has more than 18 years of teaching and research experience in various organizations. His research interests include data mining, algorithms and foundations of chip design, computer security, blockchain, machine learning, cryptography, IoT, and distributed systems. He has authored 12 international referred journals, 12 conference proceedings, 3 books, 2 book chapters for the CRC Press, one IEEE/ACM Transaction, and filed two patents in the aforementioned areas. He is a member of IEEE, SMIE, FSIESRP, and IFERP.

Neelamani Samal

Neelamani Samal received the bachelor's of computer science and engineering degree from Jagannath Institute for Technology and Management, Parlakhemundi, India. He received the master of technology degree in information technology from the College of Engineering and Technology, Bhubaneshwar, India. He has more than 10 years of teaching experience in various technical institutions. Since 2019, he has been a faculty with the Einstein Academy of Technology and Management, Bhubaneshwar, India. He has around 8 years of research experience. His research interests include signal processing, operating system, data structures, automata theory, software engineering, cryptography, and distributed systems. Email: [email protected]

Prakash Kumar Chinara

Prakash Kumar Chinara received the Master of Technology degree from the College of Engineering and Technology (BPUT),Techno Campus, Ghatikia, Bhubaneshwar, India. He has more than 10 years of teaching and research experience in various organizations. Presently, he is senior software engineer at Schneider Electric Software, Bengaluru, Karnataka, India. His research interests include machine learning, cryptography, IoT, and distributed systems. He has authored several paper in international referred journals, conference proceedings, in the aforementioned areas. Email: [email protected]