Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors

Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors

Convolutional neural networks provide a state-of-the-art approach to the development of froth image sensors. In this study, it is shown that a pretrained neural network architecture, namely VGG16, can be used to obtain significant improvements in froth image sensors. However, training of these netwo...

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Bibliographic Details
Main Authors: Fu, Y., Aldrich, Chris
Format: Journal Article
Published: 2018
Online Access:http://hdl.handle.net/20.500.11937/73068

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