Abstract
We proposed a transiently chaotic neural network with variable thresholds (TCNN-VT) by mapping the optimization problem onto the thresholds in the self-feedback terms of the neural network. This TCNN-VT model consists of N×M noisy chaotic neurons for an N-carrier-M-segment frequency assignment problem (FAP). The application of this new model on the FAP in satellite communications shows better performance compared with existing techniques, especially in large-scale problem.
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Liu, W., Shi, H., Wang, L. (2008). Transiently Chaotic Neural Network with Variable Thresholds for the Frequency Assignment Problem in Satellite Communications. In: Wang, R., Shen, E., Gu, F. (eds) Advances in Cognitive Neurodynamics ICCN 2007. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8387-7_154
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DOI: https://doi.org/10.1007/978-1-4020-8387-7_154
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8386-0
Online ISBN: 978-1-4020-8387-7
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