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| A NEURAL NETWORK FOR DECODING OF NONLINEAR CODES |
| Ma Xiaomin①; Yang Yixian①; Zhang Zhaozhi② |
| ①Dept. of Infm. Eng., Beijing University of Posts and Telecommunications Beijing100088;②Institute of System Science Academia Sinica Beijing 100080 |
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Abstract A decoding strategy for nonlinear codes using a neural network is presented. Within the capacity of error correction, it can correct and detect errors of general nonlinear codes which have some specific code distance with zero error probability. This paper describes structure of the neural network, learning algorithm and theory analysis. Finally, one decoding example: nonlinear constant weight code is demonstrated to prove the availability and values of theory and application.
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Received: 01 August 1997
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1998, Vol. 20 
