摘要： 该文阐述了原型模式选取对协同方法的模式识别性能有着非常重要的作用，并提出了一种基于遗传算法的原型模式选取算法．对从实际应用中获得的样本进行的实验证明：新算法能有效地在原型模式空间搜索全局最优解，使协同方法的识别性能有较大提高．

关键词: 序参量, 最优原型模式, 协同神经网络, 遗传算法, 神经网络优化

Abstract: The selection of prototype patterns is very hoportant to pattern recognition of synergetic approach, so an algorithm of selection of prototype patterns based on genetic algorithm is presented in this paper.The test for the samples obtained from real application is made,and shows the new algorithm can effectively search the optimal prototype patterns and approve the recognition rate largely.

中图分类号: 

• TP18