scholarly journals Using the Hopfield neural network with mean field annealing to solve the shortest path problem in a communication network

2002 ◽  
Author(s):  
M.W. Dixon ◽  
G.R. Cole ◽  
M.I. Bellgard
Keyword(s):  
Neural Network ◽  
Communication Network ◽  
Shortest Path ◽  
Mean Field ◽  
Hopfield Neural Network ◽  
Shortest Path Problem ◽  
Field Annealing

Application of Kalman Filter and Mean Field Annealing Algorithms in GPS-Based Attitude Determination

1998 ◽  
Vol 51 (1) ◽  
pp. 117-131 ◽  
Author(s):  
Jyh-Ching Juang ◽  
Guo-Shing Huang
Keyword(s):  
Neural Network ◽  
Kalman Filter ◽  
Attitude Determination ◽  
Mean Field ◽  
Hopfield Neural Network ◽  
Integer Ambiguity ◽  
Neural Network Approach ◽  
Field Annealing ◽  
Filter Approach ◽  
Set Up

In this paper, two algorithms of Global Positioning System based attitude determination are proposed. The first algorithm extends the Kalman filter approach to determine the integer ambiguity and the orientation that is needed in a typical gps-based attitude determination problem. The second algorithm explores the mean field annealing neural network approach, which is a combination of the competitive Hopfield neural network and the stochastic simulated annealing technique, to resolve the optimal attitude problems. A test platform is set up for verifying these algorithms. The two algorithms are further compared in terms of computation speed and convergence rate.

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