一種可用于非線性碼譯碼神經(jīng)網(wǎng)絡(luò)模型研究
A NEURAL NETWORK FOR DECODING OF NONLINEAR CODES
-
摘要: 本文提出一種非線性碼神經(jīng)網(wǎng)絡(luò)譯碼方案,在糾錯(cuò)能力范圍內(nèi)對(duì)滿足碼距特性的一般非線性碼以零錯(cuò)誤概率進(jìn)行糾錯(cuò)譯碼,并在檢錯(cuò)能力范圍內(nèi)檢錯(cuò)。文中具體描述了神經(jīng)網(wǎng)絡(luò)模型構(gòu)造、學(xué)習(xí)算法及其理論依據(jù)。最后通過(guò)非線性等重碼的譯碼實(shí)例表明此方案的有效性及理論和應(yīng)用價(jià)值。
-
關(guān)鍵詞:
- 非線性碼; 譯碼; 神經(jīng)網(wǎng)絡(luò)
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. -
Macmilliams F J, et al. The Theory of Error-correcting Codes. New York: North-Holland, 1977.[2]Bruck J, et al. Neural networks error correcting codes and polynomials over the binary n cube IEEE Trans. on Inform. Theory, 1989, IT-35(4): 976-987.[3]楊義先,林須端. 編碼密碼學(xué).北京: 人民郵電出版社,1992, 304-456.[4]]楊義先.人工神經(jīng)網(wǎng)絡(luò)能量函數(shù)與糾錯(cuò)碼譯碼算法.模式識(shí)別與人工智能,1991, 4(3): 22-27.[5]Jin Fan, et al. A new class of nonlinear error control codes based on neural networks. JSJO, 1995, 3(2): 109-116.[6]許成謙,等.神經(jīng)網(wǎng)絡(luò)與非線性碼最小加權(quán)距離譯碼算法.北京郵電大學(xué)學(xué)報(bào),1994, 17(2): 23-26.[7][7][8]Espositom A, et al. A neural network for error correcting decoding of binary linear codes[J].Neural Networks.1994, 7(1):195-202[9]Lifang Li, et al. A modified learning rule of the neural network for error correcting decoding. Proc. of ICONIP95, Beijing: 1995: 562-565. -
計(jì)量
- 文章訪問數(shù): 2203
- HTML全文瀏覽量: 127
- PDF下載量: 485
- 被引次數(shù): 0
下載:
