Quantitative Analysis of Weight of Prognostic Factors Related to Radiation Pneumonitis using Statistical Analysis and Artificial Neural Network

2018 ◽  
Vol 102 (3) ◽  
pp. e268
Author(s):  
E. Ju ◽  
S. Lee ◽  
K.H. Kim ◽  
S.W. Choi ◽  
K.H. Chang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Prognostic Factors ◽  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Radiation Pneumonitis ◽  
Artificial Neural

scholarly journals Active stability observer using artificial neural network for intuitive physical human–robot interaction

2017 ◽  
Vol 14 (4) ◽  
pp. 172988141772732 ◽  
Author(s):  
Mohamed Amir Sassi ◽  
Martin J-D Otis ◽  
Alexandre Campeau-Lecours
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Statistical Analysis ◽  
Real Time ◽  
Multilayer Perceptron ◽  
Human Robot Interaction ◽  
Sensor Signal ◽  
Robot Interaction ◽  
Artificial Neural ◽  
Real Time Simulations

Physical human–robot interaction may present an obstacle to transparency and operations’ intuitiveness. This barrier could occur due to the vibrations caused by a stiff environment interacting with the robotic mechanisms. In this regard, this article aims to deal with the aforementioned issues while using an observer and an adaptive gain controller. The adaptation of the gain loop should be performed in all circumstances in order to maintain operators’ safety and operations’ intuitiveness. Hence, two approaches for detecting and then reducing vibrations will be introduced in this study as follows: (1) a statistical analysis of a sensor signal (force and velocity) and (2) a multilayer perceptron artificial neural network capable of compensating the first approach for ensuring vibrations identification in real time. Simulations and experimental results are then conducted and compared in order to evaluate the validity of the suggested approaches in minimizing vibrations.

ARTIFICIAL NEURAL NETWORK FOR THE QUANTITATIVE ANALYSIS OF AIR TOXIC VOCs

2001 ◽  
Vol 34 (12) ◽  
pp. 2203-2219 ◽  
Author(s):  
Yan Li ◽  
Junde Wang ◽  
Zuoru Chen ◽  
Xuetie Zhou
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Quantitative Analysis ◽  
Artificial Neural
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