Abstract
This paper presents a binary Hopfield neural network approach for finding a broadcasting schedule in a low-altitude satellite system. Our neural network is composed of simple binary neurons on the synchronous parallel computation, which is greatly suitable for implementation on a digital machine. With the help of heuristic methods, the neural network of a maximum of 200 000 neurons can always find near-optimum solutions on a conventional work station in our simulations.
Original language | English |
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Pages (from-to) | 441-445 |
Number of pages | 5 |
Journal | IEEE Transactions on Neural Networks |
Volume | 8 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1997 |
Externally published | Yes |
Keywords
- Binary neuron
- Combinatorial optimization
- Heuristic method
- Neural network
- Parallel computation
- Satellite broadcast scheduling
- Simulation
ASJC Scopus subject areas
- Software
- Computer Science Applications
- Computer Networks and Communications
- Artificial Intelligence