Neural Network Assisted Compact Model for Accurate Characterization of Cycle-to-cycle Variations in 2-D $h$-BN based RRAM devices

2019 ◽  
Author(s):  
Jacob N. Rohan ◽  
Pingping Zhuang ◽  
SS Teja Nibhanupudi ◽  
Sanjay K. Banerjee ◽  
Jaydeep P. Kulkarni
Keyword(s):  
Neural Network ◽  
Compact Model

scholarly journals Efficient characterization of microwave applicator loaded with multilayer dielectric based on neural networks

2010 ◽  
Vol 23 (2) ◽  
pp. 217-226
Author(s):  
Zoran Stankovic ◽  
Bratislav Milovanovic ◽  
Nebojsa Doncov ◽  
Aleksandar Marincic
Keyword(s):  
Neural Network ◽  
Neural Model ◽  
Hardware Platform ◽  
Neural Network Approach ◽  
Frequency Model ◽  
Suggested Approach ◽  
Cavity Configuration ◽  
Microwave Applicator ◽  
Multilayer Dielectric

In this paper, new neural network approach for characterization of cylindrical metallic cavity loaded with multilayer dielectric is suggested. Such cavity configuration has a great importance in realization of microwave resonant applicators, widely used for thermal processing of multilayer materials. Proposed neural model is based on representation of multilayer cavity load via several planparallel homogeneous dielectric slabs and superposition of separate influence of each dielectric slab parameters on the cavity resonant frequency. Model is incorporated into MLP neural network enabling its efficient implementation on modest hardware platform. Suggested approach is verified on the example of circular cylindrical metallic cavity loaded with two-layer dielectric.

Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model

Measurement ◽  
2021 ◽  
pp. 110654
Author(s):  
Jiaxing Xin ◽  
Jinzhong Chen ◽  
Chunyu Li ◽  
Runkun Lu ◽  
Xiaolong Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Oil And Gas ◽  
Gas Pipeline ◽  
Bp Neural Network Model
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