Lossless data compression methods based on neural network

Yang Guowei, Li Zhengxi, Tu Xuyan
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引用次数: 2

Abstract

No lossless data compression method based on neural network has been found before. A lossless compression method based on BP network for the long character-string of 0 and 1 is given by establishing specific mapping Y and specific integer function and with the non-linear approximation capability of concrete three-layer BP network in this paper. The compression and decompression algorithms of the lossless compression method are provided. Experiments show that the compression ratio of the lossless compression method is usually around 16/11 and the method can effectively compress the data which have been compressed by Huffman coding, arithmetic coding or dictionary coding.
基于神经网络的无损数据压缩方法
基于神经网络的数据无损压缩方法目前还没有发现。本文通过建立特定的映射Y和特定的整数函数,利用具体的三层BP网络的非线性逼近能力,给出了一种基于BP网络的0和1长字符串无损压缩方法。给出了无损压缩方法的压缩和解压缩算法。实验表明,无损压缩方法的压缩比通常在16/11左右,可以有效地压缩经过霍夫曼编码、算术编码或字典编码压缩过的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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