Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Back-Propagation Neural Network for Intelligent Cyber-Physical Systems for Wireless Communications Subject The topic of the resource Artificial intelligence; BPNN; Cyber-physical systems; Wireless sensor network Description An account of the resource 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. Creator An entity primarily responsible for making the resource Madasamy N.S.; Eldho K.J.; Senthilnathan T.; Deny J. Source A related resource from which the described resource is derived IETE Journal of Research, Vol-70, No. 2, pp. 1361-1373. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/03772063.2023.2173669" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/03772063.2023.2173669</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172011132&amp;doi=10.1080%2F03772063.2023.2173669&amp;partnerID=40&amp;md5=ee6986534317ff366c5d43edbf3beb00" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172011132&amp;doi=10.1080%2f03772063.2023.2173669&amp;partnerID=40&amp;md5=ee6986534317ff366c5d43edbf3beb00</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3772063 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Madasamy N.S., Department of CSE, Dr. Mahalingam College of Engineering &amp; 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