Extraction of Chemical Parameter Characterizing the Upper, Middle and Lower Stream by Principal Component Analysis and Neural Network– The Case of Tamagawa River, Tokyo, Japan –

Junko KAMBE; Tomoko FUKUDA; Umpei NAGASHIMA; Tomoo AOYAMA

doi:10.2477/jchemsoft.8.27

Extraction of Chemical Parameter Characterizing the Upper, Middle and Lower Stream by Principal Component Analysis and Neural Network– The Case of Tamagawa River, Tokyo, Japan –

Journal of Chemical Software ◽

10.2477/jchemsoft.8.27 ◽

2002 ◽

Vol 8 (1) ◽

pp. 27-36 ◽

Cited By ~ 4

Author(s):

Junko KAMBE ◽

Tomoko FUKUDA ◽

Umpei NAGASHIMA ◽

Tomoo AOYAMA

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Chemical Parameter ◽

Lower Stream

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Hardware-Based Principal Component Analysis for Hybrid Neural Network Trained by Particle Swarm Optimization on a Chip

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e102.a.1374 ◽

2019 ◽

Vol E102.A (10) ◽

pp. 1374-1382

Author(s):

Tuan Linh DANG ◽

Yukinobu HOSHINO

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Principal Component ◽

Component Analysis ◽

Swarm Optimization ◽

Hybrid Neural Network

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Intruder Detection Using Fuzzy Min-Max Neural Network and A Principal Component Analysis (PCA) in Network Data

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v5i12.109117 ◽

2017 ◽

Vol 5 (12) ◽

pp. 109-117

Author(s):

A. F. Aldubai ◽

◽

...

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Network Data ◽

Intruder Detection

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Principal component analysis, hidden Markov model , and artificial neural network inspired techniques to recognize faces

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.6157 ◽

2020 ◽

Author(s):

Akarsh Aggarwal ◽

Mohammed Alshehri ◽

Manoj Kumar ◽

Purushottam Sharma ◽

Osama Alfarraj ◽

...

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Principal Component ◽

Component Analysis ◽

Artificial Neural

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A Priori Modeling of NO Formation with Principal Component Analysis and the Convolutional Neural Network in the Context of Large Eddy Simulation

Energy & Fuels ◽

10.1021/acs.energyfuels.1c02332 ◽

2021 ◽

Author(s):

Jiahao Ren ◽

Haiou Wang ◽

Kun Luo ◽

Jianren Fan

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Large Eddy Simulation ◽

Convolutional Neural Network ◽

A Priori ◽

Principal Component ◽

Component Analysis ◽

Eddy Simulation ◽

No Formation ◽

Large Eddy

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Evaluation of Talent Cultivation for Colleges and Universities Based on Principal Component Analysis and BP Neural Network

2011 International Conference of Information Technology, Computer Engineering and Management Sciences ◽

10.1109/icm.2011.344 ◽

2011 ◽

Author(s):

Wei Sun ◽

Xiaolin Zhao

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Bp Neural Network ◽

Principal Component ◽

Component Analysis ◽

Colleges And Universities

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Application of Principal Component Analysis and Neural Network on the Information System Evaluation

2009 Pacific-Asia Conference on Circuits, Communications and Systems ◽

10.1109/paccs.2009.161 ◽

2009 ◽

Cited By ~ 6

Author(s):

Guifen Zhao ◽

Jingbo Liu

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Information System ◽

Principal Component ◽

Component Analysis ◽

System Evaluation

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Automated identification of novel amphetamines using a pure neural network and neural networks coupled with principal component analysis

Journal of Molecular Structure ◽

10.1016/j.molstruc.2004.11.049 ◽

2005 ◽

Vol 744-747 ◽

pp. 821-825 ◽

Cited By ~ 13

Author(s):

S. Gosav ◽

M. Praisler ◽

D.O. Dorohoi ◽

G. Popa

Keyword(s):

Neural Network ◽

Neural Networks ◽

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Automated Identification

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Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network

Applied Soft Computing ◽

10.1016/j.asoc.2015.11.039 ◽

2016 ◽

Vol 40 ◽

pp. 274-282 ◽

Cited By ~ 44

Author(s):

Shih Yin Ooi ◽

Andrew Beng Jin Teoh ◽

Ying Han Pang ◽

Bee Yan Hiew

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Radon Transform ◽

Hybrid Methods ◽

Probabilistic Neural Network ◽

Principal Component ◽

Component Analysis ◽

Signature Verification ◽

Discrete Radon Transform ◽

Handwritten Signature

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Event identification of a phase-sensitive OTDR sensing system based on principal component analysis and probabilistic neural network

Infrared Physics & Technology ◽

10.1016/j.infrared.2021.103630 ◽

2021 ◽

Vol 114 ◽

pp. 103630

Author(s):

Xin Wang ◽

Ailun Zhang ◽

Sheng Liang ◽

Shuqin Lou

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Probabilistic Neural Network ◽

Principal Component ◽

Component Analysis ◽

Event Identification ◽

Sensing System ◽

Phase Sensitive

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Research on Computer Intelligent Comprehensive Evaluation Model of Education Using Neural Network and Principal Component Analysis

10.1109/icdsca53499.2021.9650294 ◽

2021 ◽

Author(s):

Jianqi Gao ◽

Huawei Liu

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Comprehensive Evaluation ◽

Evaluation Model ◽

Principal Component ◽

Component Analysis ◽

Comprehensive Evaluation Model

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