Combination of Kohonen network model and Back-propagation neural network model to predict Biochemical oxygen demand(BOD5) removal rate of sewage resource from the horizontal subsurface flow(HSSF) constructed wetlands

2011 ◽  
Author(s):  
Song Chien-ming ◽  
Zheng Fu-shang ◽  
Li Yu-ji ◽  
Tsai Han-te ◽  
Chen Jinh-wua
Keyword(s):  
Neural Network ◽  
Constructed Wetlands ◽  
Network Model ◽  
Neural Network Model ◽  
Biochemical Oxygen Demand ◽  
Removal Rate ◽  
Back Propagation ◽  
Oxygen Demand ◽  
Back Propagation Neural Network ◽  
Kohonen Network

scholarly journals Back-propagation neural network model to predict visibility at a road link-level

2020 ◽  
Vol 8 ◽  
pp. 100250
Author(s):  
Venkata R. Duddu ◽  
Srinivas S. Pulugurtha ◽  
Ajinkya S. Mane ◽  
Christopher Godfrey
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Back Propagation ◽  
Back Propagation Neural Network

Application of the Back Propagation Neural Network Model on the Supplier Evaluation in E-Manufacturing Environment

2009 ◽  
Vol 16-19 ◽  
pp. 174-177
Author(s):  
Jian Chen ◽  
Ming Hong Wu ◽  
Ilias Oraifige
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Evaluation System ◽  
Supplier Selection ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Supplier Evaluation ◽  
Test Results ◽  
Model Training

The supplier evaluation is a key section of the intelligent internet supplier selection & evaluation system. The model used for supplier evaluation is Back Propagation Neural Network model which is introduced in the paper. The paper started with the brief introduction of the intelligent internet supplier selection & evaluation system. It provides a outline of the research project and then it concentrated to introduce the application of the BP NN model for supplier evaluation. The application introduced in the paper will include the design of the BP NN model, Training of the BP NN model and test results.

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