Device Performance Prediction of Nanoscale Junctionless FinFET Using MISO Artificial Neural Network

Silicon ◽  
2022 ◽  
Author(s):  
Rachita Ghoshhajra ◽  
Kalyan Biswas ◽  
Angsuman Sarkar
2014 ◽  
Vol 539 ◽  
pp. 901-903
Author(s):  
Feng Yu ◽  
Yi Wu ◽  
Xian Ming Shao ◽  
Jian Chun Guo

This paper presents a fuzzy neural network model combining fuzzy mapping and artificial neural network for the prediction of sports results. The model for predicting track & field results of each individual event at the 27th Olympic Games is established. Through modeling and comparative validation it is shown that since 1950s the modeling of track & field results according to the sequence of number reflects the basic trends of the track & field result development with good precision.


2011 ◽  
Vol 101-102 ◽  
pp. 212-215
Author(s):  
Liang Yao Su ◽  
Xiang Sheng Li ◽  
Xiong Fei Yin ◽  
Xiao Yan Feng ◽  
Shang Wen Ruan

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the BP algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with BP artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction; meanwhile it can guide the bottle design in practical terms.


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