Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/157142
Title: | A blockchain-based deep learning-empowered optimal auction platform | Authors: | Li, Zhaonian | Keywords: | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence | Issue Date: | 2022 | Publisher: | Nanyang Technological University | Source: | Li, Z. (2022). A blockchain-based deep learning-empowered optimal auction platform. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157142 | Abstract: | This project focuses on the optimisation of sealed-bid second price auction. Not only does the goodness of second price auction be retained, but the application will also utilise blockchain and a decentralised application to provide a fair and transparent data storing environment. Moreover, the winner of the auction and the payment price is determined by a deep learning model which maximises the seller’s revenue in a forward auction and minimises the buyer’s cost in a reverse auction. | URI: | https://hdl.handle.net/10356/157142 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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Report.pdf Restricted Access | 2.42 MB | Adobe PDF | View/Open |
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