随机petri网分析分组交换网中窗式流量控制机理

A Speech Recognition Method Using Competitive and Selective Learning Neural Networks

本文将随机Ｐｅｔｒｉ网与排队论相结合，对分组交换网中的窗式流量控制机理进行了描述与分析，建立了窗式流量控制机理的随机Ｐｅｔｒｉ网模型，并给出了随机Ｐｅｔｒｉ网模型的可达图及状态转移方程。为通信网的性能分析和评价提供了一种新的方法。

In this paper,a basic principle called the equidistortion principle for vector clustering is theoretically derived by using Gersho's asymptotic theory,and a new competitive learning algorithm is prorosed with a selection mechanism,called the CLS(Competitive and Selective Learning)algorithm.Because the selection mechanism enables the system to escape from local minima,the proposed algorithm can obtain better performance without a particular initialization procedure.A new neural network algorithm with competitive learning and multiple safe rejection schemes are proposed in the context of parallel,self organizing,hierarchical neural networks(PSHNN).The input of PSHNN is a subset of the output scores of HMM.The experimental results indicate that the recognition ability of the method based on competitive learning neural network is higher than that of the traditional HMM method.