Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis

Zhan-Yu Liu; Hong-Feng Wu; Jing-Feng Huang

doi:10.1016/j.compag.2010.03.003

Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2010.03.003 ◽

2010 ◽

Vol 72 (2) ◽

pp. 99-106 ◽

Cited By ~ 71

Author(s):

Zhan-Yu Liu ◽

Hong-Feng Wu ◽

Jing-Feng Huang

Keyword(s):

Neural Networks ◽

Fungal Infection ◽

Principal Components Analysis ◽

Principal Components ◽

Hyperspectral Reflectance ◽

Components Analysis ◽

Rice Panicles

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Identification of Neural Networks That Contribute to Motion Sickness through Principal Components Analysis of Fos Labeling Induced by Galvanic Vestibular Stimulation

PLoS ONE ◽

10.1371/journal.pone.0086730 ◽

2014 ◽

Vol 9 (1) ◽

pp. e86730 ◽

Cited By ~ 28

Author(s):

Carey D. Balaban ◽

Sarah W. Ogburn ◽

Susan G. Warshafsky ◽

Abdul Ahmed ◽

Bill J. Yates

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Motion Sickness ◽

Principal Components ◽

Vestibular Stimulation ◽

Galvanic Vestibular Stimulation ◽

Components Analysis

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Terrain classification in SAR images using principal components analysis and neural networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170746 ◽

1991 ◽

Cited By ~ 3

Author(s):

S. Ghaloum ◽

M.R. Azimi-Sadjadi

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Terrain Classification ◽

Sar Images ◽

Components Analysis

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REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

Química Nova ◽

10.5935/0100-4042.20160024 ◽

2016 ◽

Author(s):

Saulo Rodrigues e Silva ◽

Fernando Schimidt

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dissolved Oxygen ◽

Principal Components Analysis ◽

Principal Components ◽

Analysis Data ◽

Components Analysis ◽

Artificial Neural ◽

Input Variables

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Speech recognition using Principal Components Analysis and Neural Networks

2016 IEEE 8th International Conference on Intelligent Systems (IS) ◽

10.1109/is.2016.7737405 ◽

2016 ◽

Cited By ~ 3

Author(s):

Shaham Shabani ◽

Yaser Norouzi

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

10.5220/0004152304830492 ◽

2012 ◽

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Principal Components Analysis ◽

Process Monitoring ◽

Principal Components ◽

Basis Function ◽

Analysis Model ◽

Radial Basis ◽

Components Analysis

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Neural networks for seismic principal components analysis

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.739164 ◽

1999 ◽

Vol 37 (1) ◽

pp. 297-311 ◽

Cited By ~ 13

Author(s):

Kou-Yuan Huang

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection

2008 IEEE 16th Signal Processing, Communication and Applications Conference ◽

10.1109/siu.2008.4632625 ◽

2008 ◽

Author(s):

Erinc Karatoprak ◽

Tayfun Senguler ◽

Serhat Seker

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fault Detection ◽

Principal Components Analysis ◽

Principal Components ◽

Probabilistic Neural Networks ◽

Components Analysis

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Simulation of an industrial wastewater treatment plant using artificial neural networks and principal components analysis

Brazilian Journal of Chemical Engineering ◽

10.1590/s0104-66322002000400002 ◽

2002 ◽

Vol 19 (4) ◽

pp. 365-370 ◽

Cited By ~ 47

Author(s):

K.P. Oliveira-Esquerre ◽

M. Mori ◽

R.E. Bruns

Keyword(s):

Neural Networks ◽

Wastewater Treatment ◽

Artificial Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Wastewater Treatment Plant ◽

Industrial Wastewater ◽

Treatment Plant ◽

Industrial Wastewater Treatment ◽

Components Analysis

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Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images

Engineering Applications of Neural Networks - Communications in Computer and Information Science ◽

10.1007/978-3-642-41013-0_30 ◽

2013 ◽

pp. 292-301

Author(s):

Spiros V. Georgakopoulos ◽

Sotiris K. Tasoulis ◽

Vassilis P. Plagianakos ◽

Ilias Maglogiannis

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Idiopathic Pulmonary Fibrosis ◽

Pulmonary Fibrosis ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis ◽

Artificial Neural ◽

Microscopy Images

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Terrain classification in SAR images using principal components analysis and neural networks

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.214928 ◽

1993 ◽

Vol 31 (2) ◽

pp. 511-515 ◽

Cited By ~ 33

Author(s):

M.R. Azimi-Sadjadi ◽

S. Ghaloum ◽

R. Zoughi

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Terrain Classification ◽

Sar Images ◽

Components Analysis

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