T. Miyajima, T. Hasegawa, T. Nagaosa, "On the MultiUser Detection Using a Hopfield Network in Mary /SSMA Communications" 5th IEEE Symp. on Pers. Ind. and Mobile Radio Commun., vol. 2, pp. 420-424, 1994. Home/Search Document Not in Database Summary Related Articles |
This paper is cited in the following contexts:
Comparison Of Different Neural Network Based Multi-User.. - Jeney, Levendovszky.. (2000) (Correct)
....detection [1] yield poor performance in the case of numerous or differing power users. On the other hand, to implement the optimal Bayesian decision meets severe combinatorial limits. Some authors proposed the use of neural architectures, like Hopfield network, to overcome these difficulties [2] [3], 4] in order to provide an alternative method for optimization. Unfortunately, the Hopfield model can get easily stuck into a local minimum, therefore it may not yield the optimal detection, although its performance is good enough. The authors have developed a brand new detection scheme, named ....
T. Miyajima, T. Hasegawa, T. Nagaosa, "On the MultiUser Detection Using a Hopfield Network in Mary /SSMA Communications" 5th IEEE Symp. on Pers. Ind. and Mobile Radio Commun., vol. 2, pp. 420-424, 1994.
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