A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications
- Title
- A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications
- Creator
- Madasamy N.S.; Eldho K.J.; Senthilnathan T.; Deny J.
- Description
- Wireless sensor networks, which play a significant role in monitoring complex environments that change rapidly over time, were used in the Artificial Intelligence method. External factors or the device designers themselves are both responsible for this complex behavior. Sensor networks often use machine learning techniques to adapt to such conditions, eliminating the need for excessive redesign. Cyber-physical systems (CPS) appeared as the promising option for improving physical-virtual interactions. The quality of the system containing processing information is primarily determined by the system function. There are many benefits obtained while combining Artificial Intelligence (AI) and Cyber-Physical Systems (CPSs) in buildings. In CPS-based indoor environment has various design schemes containing measurement and intelligent buildings in the control system consisting of detection, tracking, execution, and communication modules. The Multi-Agent System (MAS) is the smallest control unit that simulates among neurons and it flexibly provides the information. To mimic the interactions between human neurons, multi-agents are used. In this paper, the CPSs information world is built on the fundamental principle of granular formal concepts and the theory of granular computing is investigated. The calculation module is used by Back-Propagation Neural Network (BPNN) for pattern recognition and classification by environmental information. Various parameters namely the normalized root mean square error, peak signal-to-noise ratio, mean square error, and the mean absolute error are chosen as the objective assessment criteria to assess the benefits of the proposed method and the effectiveness of the proposed system is proven. 2024 IETE.
- Source
- IETE Journal of Research, Vol-70, No. 2, pp. 1361-1373.
- Date
- 2024-01-01
- Publisher
- Taylor and Francis Ltd.
- Subject
- Artificial intelligence; BPNN; Cyber-physical systems; Wireless sensor network
- Coverage
- Madasamy N.S., Department of CSE, Dr. Mahalingam College of Engineering & Technology, Pollachi, India; Eldho K.J., PG Department of Computer Science, Mary Matha Arts and Science College, Kerala, Wayanad, India; Senthilnathan T., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Deny J., Department of ECE, Kalasalingam Academy of Research and Education, Krishnankoil, India
- Rights
- Restricted Access
- Relation
- ISSN: 3772063
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Madasamy N.S.; Eldho K.J.; Senthilnathan T.; Deny J., “A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/13787.