An Optimal Reconstruction Method of Synergetic Order Parameters Based on Orthogonal Polynomials

摘要：

The order parameter is the key factor of synergetic pattern recognition. However, the conventional methods of reconstruction of order parameters have some shortcomings which limit the applications in real world. With these reasons, in this paper, a new approach to reconstruction of order parameters is proposed based on orthogonal polynomial, and thus we can make full use of the self-learning ability of synergetic neural network to obtain a group of linear transformation parameters for order parameters. In addition, a weights-direct-determination method is presented, which could immediately get the reconstruction network weights in the training process. The experiment results show that this novel algorithm can not only search the reconstruction parameters effectively, but also improve the recognition ability of system.

关键词： synergetic neural network reconstruction of order parameters orthogonal polynomial function approximation

作者: Gang Zou ShiLin Zhou Wei Yao Yonghong Ao

作者单位: College of Electronic Science & Engineering,National University of Defense Technology,Changsha,41007 Information Center,National university of Defense Technology ChangSha,410073,P.R.China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 291-295

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）