Abstract: To improve the accuracy of authorship classification of texts,a dynamic synergetic neural network algorithm was proposed in this study.Specifically,this algorithm makes use of the characteristics of fast training and strong noise-immunity,and dynamically adjusts the attention parameters.Thus,the initial mis-identified patterns are adaptively corrected by measuring similarity between the prototype pattern and the testing pattern in evolution process.Compared with classification result under balanced attention parameter,the experimental result demonstrates that self-learning ability of the network is significantly improved in the dynamic synergetic neural network algorithm,thus the classification performance and robustness are improved.

Key words: Synergetic neural network,Authorship classification,Attention parameter,Order parameter