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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Envisaging an Intelligent Blockchain Network by Intelligence Sharing Subject The topic of the resource Blockchain; Machine Learning; Multi Layer Perceptron; Pre-trained Model; Weight matrices Description An account of the resource Blockchain Technology is gaining popularity throughout various industry verticals due to its data decentralization and tamper-evident nature. Machine Learning (ML) is all about embedding a learning capability to computing machines so that the machine can learn based on historical data in a way how human beings learn things. An important part of ML is the process of learning which needs humongous processing capability and hence it is time-consuming. Significant benefits have been predicted from the integration of these two technologies. Making a complete blockchain network intelligent in a simple and efficient way is a major challenge. In this work, a Multi Layer Perceptron (MLP) model is implanted in every node of the blockchain network. An efficient technique is proposed to make an intelligent blockchain network in minimum possible time and using minimum processing power. During the network formation, every node of the network has knowledge of the model architecture. At some point in time, the model of the randomly selected node gets trained. After completion of the training of that node, the intelligence is replicated to the entire network. 2022 IEEE. Creator An entity primarily responsible for making the resource Nayak A.; De S.; Bhattacharyya S.; Mukhopadhyay D.; Muhammad K.; Gorbachev S. Source A related resource from which the described resource is derived 2022 International Conference for Advancement in Technology, ICONAT 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICONAT53423.2022.9725973" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONAT53423.2022.9725973</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127572006&amp;doi=10.1109%2FICONAT53423.2022.9725973&amp;partnerID=40&amp;md5=f91ba1158be602342f3427701337d942" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127572006&amp;doi=10.1109%2fICONAT53423.2022.9725973&amp;partnerID=40&amp;md5=f91ba1158be602342f3427701337d942</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542577-3 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nayak A., Alumnus Software Limited, Kolkata, India; De S., Cooch Behar Govt. Engineering College, Dept. of Computer Science Engineering, Cooch Behar, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Birbhum, India; Mukhopadhyay D., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Muhammad K., Sungkyunkwan University, Department of Applied Artificial Intelligence, Seoul, South Korea; Gorbachev S., National Research Tomsk State University, Department of Innovative Technologies, Tomsk, Russian Federation