Design Automation and Implementation of Machine Learning Classifier Chips

Design Automation and Implementation of Machine Learning Classifier Chips

This paper presents a novel framework that automates the creation of a trained-classifier integrated circuit from a dataset. The framework accepts a dataset in a comma-separated value format and performs several processing steps to create a trained model. After creating the model, the framework gene...

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Bibliographic Details
Main Authors: Ratshih Sayed, Haytham Azmi, Amin M. Nassar, Heba Shawkey
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Design automation
design methodology
machine learning
decision trees
digital integrated circuits
Online Access:https://ieeexplore.ieee.org/document/9234476/

Internet

https://ieeexplore.ieee.org/document/9234476/

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