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"School of Science and Technology S&T"
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Title
A hybrid algorithm based on backpropagation with magnified gradient function guided by adaptive particle swarm optimization in neural network training
Contributor
Lui, Wing On
Ng, Sin Chun Vanessa 吳倩珍
School / Unit
School of Science and Technology (S&T)
Date
2012
Awards
1st runner-up (undergraduate section), Student Paper Contest, 2012 (IEEE(HK), Institute of Electrical and Electronics Engineers Hong Kong Section)
Access Eligibility
Public Access
Title
On solving the local minimum problem in feed forward neural networks
Contributor
Tse, Hau Ting Eric 謝效庭
Ng, Sin Chun Vanessa 吳倩珍
School / Unit
School of Science and Technology (S&T)
Date
2011
Awards
Champion (undergraduate section), Student Paper Contest, 2011 (IEEE(HK), Institute of Electrical and Electronics Engineers Hong Kong Section)
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S&T Best Computing Projects
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School / Unit
School of Science and Technology (S&T)
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Date
2012
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2011
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Language
English
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Keywords
Magnified gradient function (MGF)
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algorithms
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neural networks
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Adaptive particle swarm optimization (APSO)
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Backpropagation (BP) with magnified gradient function (MGFProp)
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Quickprop
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Resilient propagation (Rprop)
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meta training
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output monitoring and modification
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