Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148656
Title: Autonomous learning machine for big online data analytics
Authors: Yeap, Bryan Kian Hon
Keywords: Engineering::Computer science and engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Yeap, B. K. H. (2021). Autonomous learning machine for big online data analytics. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148656
Abstract: Deep learning became very popular recently, as it is capable of tackling problems that humans are unable to solve through traditional programming. In this paper, we will go over the implementation of a deep learning model known as Autonomous Deep Learning(ADL), which is capable of being fully flexible and has a self-growing network that adapts to the demand of its dataset by growing its hidden layers and nodes. This is especially important in a non-stationary dataset where data sources can come from different origins.Next, we convert ADL to fit in the context of regression, which is called Autonomous Learning Machine (ALM). Afterwards, we will use it to analyze real-world data of the remaining useful life of aircraft gas turbine engines. Lastly, the experimental results will be summarised and compared with results from other machine learning models.
URI: https://hdl.handle.net/10356/148656
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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