Analysis of Market Behavior Using Popular Digital Design Technical Indicators and Neural Network

2021 ◽  
pp. 445-458
Author(s):  
Jossy George ◽  
Akhil M. Nair ◽  
S. Yathish
Keyword(s):  
Neural Network ◽  
Digital Design ◽  
Market Behavior ◽  
Technical Indicators

scholarly journals Evaluation of Deep Neural Network in Directional Prediction of Forex Market

2020 ◽  
Author(s):  
Hamid Hassanpour
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Software Package ◽  
Deep Neural Network ◽  
Behavior Prediction ◽  
Market Behavior ◽  
Learning Techniques

This is a paper regarding application of deep neural network in prediction of Forex market. It utilized advanced deep learning techniques and software package in order ti evaluate capability of deep neural network in market behavior prediction.

Controller Design Based on Mechatronic Model

2014 ◽  
Vol 526 ◽  
pp. 351-356
Author(s):  
Li Xi Yue ◽  
Jian Hui Zhou ◽  
Yan Nan Lu ◽  
Chong Chong Ji ◽  
Zhi Yong Yu
Keyword(s):  
Neural Network ◽  
High Speed ◽  
Controller Design ◽  
Design Method ◽  
Nonlinear Modeling ◽  
Digital Design ◽  
The Neural Network ◽  
Key Issues ◽  
Neural Network Algorithm ◽  
Computed Torque

The dissertation deals with some key issues relevant to the controller design and digital design method for a newly patented high-speed parallel manipulator. Meanwhile, a Virtual Prototyping based co-simulation platform is also established according to the ADAMS and Matlab/Simulink software. In order to promote the ability that the manipulator traces the prescribed trajectory, a model based computed torque controller is described in detail, and a neural network algorithm is also used to optimize controller parameters real-timely under the consideration of systematic nonlinear, modeling error and outer disturbance. The neural network based computed torque controller increases the robustness of system dramatically.

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