A New Soft Sensing Model of C3Concentration of FCCU Based on Chaos-RBF Neural Network

2006 ◽  
Author(s):  
Yuqing Shang ◽  
Xuewu Wang ◽  
Xingsheng Gu
Keyword(s):  
Neural Network ◽  
Rbf Neural Network ◽  
Soft Sensing ◽  
Sensing Model

The Soft Sensing of Battery Capacity Based on RReliefF Algorithm and Neural Network

2013 ◽  
Vol 765-767 ◽  
pp. 809-812
Author(s):  
Ying Ying Su ◽  
Xing Hua Liu ◽  
Jing Zhe Li ◽  
Tai Fu Li ◽  
Ke Sheng Yan
Keyword(s):  
Neural Network ◽  
Auxiliary Variables ◽  
Soft Sensing ◽  
Model Complex ◽  
Battery Capacity ◽  
Variables Selection ◽  
Inspection Process ◽  
Sensing Model ◽  
Battery Discharge ◽  
Production Inspection

To solve the problem of too many variable numbers which makes the model complex, a kind of auxiliary variables selection method is established. After that, soft sensing of lead-acid battery capacity is put forward. First, the RReliefF method is adopted to define quantitatively the influence of auxiliary variables. Then, the soft sensing model is built up with all the combination of auxiliary variables with BP neural network. Simulation results show that the soft sensing of battery capacity is established ideal. It provides theoretical feasibility to omit the battery discharge capacity in the process of production inspection process.

scholarly journals Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned

2021 ◽  
Author(s):  
Xiaoye Qian ◽  
Chao Zhang ◽  
Jaswanth Yella ◽  
Yu Huang ◽  
Ming-Chun Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Fine Tuning ◽  
Soft Sensing ◽  
Sensing Model ◽  
Model Visualization
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