Flame cutting speed controller using computer vision and neural network

Clicks: 1
ID: 286708
2002
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Abstract
The study investigates the industrial applicability and performance of a flame cutting speed controller using neural network and computer vision. Backpropagation training algorithm is used to train the neural network. The networks learned from a set of training data derived from images of steel plates and were tested using computer simulation. Results showed that the controller is able to classify the required cutting speed with accurate results.
Reference Key
persistent_1760659404_68f187ccc8da5 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Segovia, Herman Eric U.
Journal Malay Journal
Year 2002
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etd_masteral/3213
Keywords Keywords not found

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