Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization

Mapping Intimacies ◽

10.1109/ijcnn52387.2021.9533326 ◽

2021 ◽

Author(s):

Jinjin Guo ◽

Binbin Qiu ◽

Min Yang ◽

Yunong Zhang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Object Localization ◽

Mobile Object ◽

Decomposition Problem ◽

Dynamic Matrix ◽

Zhang Neural Network

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An Improved Deep Neural Network Model Based on Searching Space Limitation for Object Localization

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/790/1/012146 ◽

2020 ◽

Vol 790 ◽

pp. 012146

Author(s):

Renchao Wu

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Deep Neural Network ◽

Object Localization ◽

Model Based ◽

Space Limitation

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Improved Zhang neural network model and its solution of time-varying generalized linear matrix equations

Expert Systems with Applications ◽

10.1016/j.eswa.2010.04.007 ◽

2010 ◽

Vol 37 (10) ◽

pp. 7213-7218 ◽

Author(s):

Zhan Li ◽

Yunong Zhang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Linear Matrix ◽

Time Varying ◽

Matrix Equations ◽

Zhang Neural Network ◽

Linear Matrix Equations

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A novel hybrid Zhang neural network model for time-varying matrix inversion

Engineering Science and Technology an International Journal ◽

10.1016/j.jestch.2021.05.013 ◽

2021 ◽

Author(s):

G. Sowmya ◽

P. Thangavel ◽

V. Shankar

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Matrix Inversion ◽

Time Varying ◽

Zhang Neural Network

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An Improved Zhang Neural Network Model Solving the Matrix Inverse Online

2019 International Conference on Advanced Mechatronic Systems (ICAMechS) ◽

10.1109/icamechs.2019.8861662 ◽

2019 ◽

Author(s):

Wudai Liao ◽

Jun Zhou ◽

Xiaosong Liang ◽

Zongsheng Liu

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Matrix Inverse ◽

Zhang Neural Network

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A neural network model of entropy discrimination in pigeons

PsycEXTRA Dataset ◽

10.1037/e604022013-026 ◽

2003 ◽

Author(s):

Christopher Silansky ◽

Anthony Chemero

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model

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A neural network model of pre-pulse inhibition

PsycEXTRA Dataset ◽

10.1037/e604022013-025 ◽

2003 ◽

Author(s):

Nestor Schmajuk ◽

Roger Smith

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model

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Multi-Layers Wavelet Kohonen Neural Network Model for Underground Pipeline Coating Detection with Galvanostatic Transient Technique

10.1061/41073(361)25 ◽

2009 ◽

Author(s):

Zhiming Gao ◽

Shizhe Song

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Underground Pipeline ◽

Transient Technique ◽

Kohonen Neural Network

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A GIS-Based Artificial Neural Network Model to Assess Building Location Potential to Harvest Solar Energy

Construction Research Congress 2020 ◽

10.1061/9780784482858.069 ◽

2020 ◽

Author(s):

M. Ammar Alzarrad ◽

Muhammad T. Hatamleh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Solar Energy ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Artificial Neural

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Neural Network Model for On-Line Thermal Margin Estimation of a Nuclear Power Plant

Expert Systems and Computer Simulation in Energy Engineering: Selected Papers from the Second International Forum ◽

10.1615/ichmt.1992.expsystcomputsimenergengin.220 ◽

1992 ◽

Author(s):

Hyun-Koon Kim ◽

Seung-Hyuk Lee ◽

Soon-Heung Chang

Keyword(s):

Neural Network ◽

Power Plant ◽

Nuclear Power Plant ◽

Network Model ◽

Neural Network Model ◽

Nuclear Power ◽

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NEURAL NETWORK MODEL FOR ON-LINE THERMAL MARGIN ESTIMATION OF A NUCLEAR POWER PLANT

Proceeding of Second International Forum on Expert System and Computer Simulation in Energy Engineering ◽

10.1615/ichmt.1992.intforumexpsyscompsimee.250 ◽

1992 ◽

Author(s):

Hyun-Koon Kim ◽

Seung-Hyuk Lee ◽

Soon-Heung Chang

Keyword(s):

Neural Network ◽

Power Plant ◽

Nuclear Power Plant ◽

Network Model ◽

Neural Network Model ◽

Nuclear Power ◽

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