An Augmented Reality Question Answering System Based on Ensemble Neural Networks

An Augmented Reality Question Answering System Based on Ensemble Neural Networks

This paper proposes a classification algorithm based on ensemble neural networks. In the training phase, the proposed algorithm uses a random number of training data to develop multiple random artificial neural network (ANN) models until those ANN models converge. Those models with lower accuracy th...

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Bibliographic Details
Main Authors: Chi-Hua Chen, Chen-Ling Wu, Chi-Chun Lo, Feng-Jang Hwang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Data mining
artificial neural network
ensemble neural networks
Online Access:https://ieeexplore.ieee.org/document/8017380/

Internet

https://ieeexplore.ieee.org/document/8017380/

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