A Gradient-Based Neural Network Method for Solving Strictly Convex Quadratic Programming Problems

2014 ◽  
Vol 6 (3) ◽  
pp. 484-495 ◽  
Author(s):  
Alireza Nazemi ◽  
Masoomeh Nazemi
Keyword(s):  
Neural Network ◽  
Quadratic Programming ◽  
Convex Quadratic Programming ◽  
Neural Network Method ◽  
Strictly Convex ◽  
Network Method ◽  
Quadratic Programming Problems ◽  
Gradient Based

A new gradient-based neural network for solving linear and quadratic programming problems

2001 ◽  
Vol 12 (5) ◽  
pp. 1074-1083 ◽  
Author(s):  
Yee Leung ◽  
Kai-Zhou Chen ◽  
Yong-Chang Jiao ◽  
Xing-Bao Gao ◽  
Kwong Sak Leung
Keyword(s):  
Neural Network ◽  
Quadratic Programming ◽  
Quadratic Programming Problems ◽  
Gradient Based

Methods for evaluation the manufacturability of a vehicle

2020 ◽  
pp. 152-160
Keyword(s):  
Neural Network ◽  
Initial Data ◽  
Comparative Data ◽  
Training Algorithm ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method ◽  
Calculation Results ◽  
Production And Operation

Methods for evaluation the manufacturability of a vehicle in the field of production and operation based on an energy indicator, expert estimates and usage of a neural network are stated. By using the neural network method the manufacturability of a car in a complex and for individual units is considered. The preparation of the initial data at usage a neural network for predicting the manufacturability of a vehicle is shown; the training algorithm and the architecture for calculating the manufacturability of the main units are given. According to the calculation results, comparative data on the manufacturability vehicles of various brands are given.

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