Research on chemical agent identification model based on wavelet analysis and neural networks

2007 International Conference on Wavelet Analysis and Pattern Recognition ◽

10.1109/icwapr.2007.4420765 ◽

2007 ◽

Author(s):

Ming-Hu Zhang ◽

Shao-Jie Chen ◽

E-Zhong Quan ◽

Sen Zhu ◽

Yun Bai

Keyword(s):

Neural Networks ◽

Wavelet Analysis ◽

Chemical Agent ◽

Model Based ◽

Identification Model

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An Accurate Financially-Challenged College Student Identification Model Based on Rough Set-BP Neural Networks and Its Application

2020 International Conference on Computer Information and Big Data Applications (CIBDA) ◽

10.1109/cibda50819.2020.00041 ◽

2020 ◽

Author(s):

Zhaohui Chu ◽

Yajie Zhang

Keyword(s):

Neural Networks ◽

College Student ◽

Rough Set ◽

Bp Neural Networks ◽

Model Based ◽

Student Identification ◽

Identification Model

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Driving Intention Identification Model Based on Long and Short-Term Memory Network

10.1061/9780784483053.202 ◽

2020 ◽

Author(s):

Tian Yuan ◽

Hua Chai ◽

Ke-Xin Ma

Keyword(s):

Short Term Memory ◽

Term Memory ◽

Model Based ◽

Memory Network ◽

Identification Model

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A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

Физико-технические проблемы разработки полезных ископаемых ◽

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Artificial Neural Networks ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

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A global 3-D electron density reconstruction model based on radio occultation data and neural networks

Journal of Atmospheric and Solar-Terrestrial Physics ◽

10.1016/j.jastp.2021.105702 ◽

2021 ◽

pp. 105702

Author(s):

John Bosco Habarulema ◽

Daniel Okoh ◽

Dalia Burešová ◽

Babatunde Rabiu ◽

Mpho Tshisaphungo ◽

...

Keyword(s):

Neural Networks ◽

Electron Density ◽

Radio Occultation ◽

Model Based ◽

Occultation Data ◽

Reconstruction Model ◽

Radio Occultation Data

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Multi-objective solid waste classification and identification model based on transfer learning method

Journal of Material Cycles and Waste Management ◽

10.1007/s10163-021-01283-8 ◽

2021 ◽

Vol 23 (6) ◽

pp. 2179-2191

Author(s):

Yayu Chen ◽

Jisheng Sun ◽

Shijun Bi ◽

Cairu Meng ◽

Fei Guo

Keyword(s):

Solid Waste ◽

Transfer Learning ◽

Learning Method ◽

Multi Objective ◽

Model Based ◽

Waste Classification ◽

Identification Model

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Taffic identification model based on Convolutional Neural Network — CON-BSCNN

2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) ◽

10.1109/icbaie52039.2021.9389927 ◽

2021 ◽

Author(s):

Yuening Zhang ◽

Nan Zhang ◽

Cangjun Gao ◽

Mingzhong Xiao

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Model Based ◽

Identification Model

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Two‐Stage Credit Scoring Model Based on Evolutionary Feature Selection and Ensemble Neural Networks

Machine Learning Algorithms and Applications ◽

10.1002/9781119769262.ch6 ◽

2021 ◽

pp. 99-115

Author(s):

Diwakar Tripathi ◽

Damodar Reddy Edla ◽

Annushree Bablani ◽

Venkatanareshbabu Kuppili

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Credit Scoring ◽

Two Stage ◽

Scoring Model ◽

Model Based ◽

Ensemble Neural Networks ◽

Credit Scoring Model

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A semisupervised learning model based on fuzzy min–max neural networks for data classification

Applied Soft Computing ◽

10.1016/j.asoc.2021.107856 ◽

2021 ◽

Vol 112 ◽

pp. 107856

Author(s):

Farhad Pourpanah ◽

Di Wang ◽

Ran Wang ◽

Chee Peng Lim

Keyword(s):

Neural Networks ◽

Data Classification ◽

Learning Model ◽

Semisupervised Learning ◽

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Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

Energy Conversion and Management ◽

10.1016/j.enconman.2021.113917 ◽

2021 ◽

Vol 233 ◽

pp. 113917

Author(s):

Ming-De Liu ◽

Lin Ding ◽

Yu-Long Bai

Keyword(s):

Neural Networks ◽

Empirical Mode Decomposition ◽

Hybrid Model ◽

Recurrent Neural Networks ◽

Wind Speed Prediction ◽

Model Based ◽

Mode Decomposition ◽

Speed Prediction

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Model-Based Identification of a Vehicle Suspension Using Parameter Estimation and Neural Networks

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)58392-5 ◽

1996 ◽

Vol 29 (1) ◽

pp. 4510-4515 ◽

Author(s):

Thomas Weispfenning ◽

Steffen Leonhardt

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Vehicle Suspension ◽

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