论文部分内容阅读
论述了矢量化VQ,模式识别和神经网络(NN)的基本概念及三者关系。重点介绍了适合于VQ的NN模型及学习算法,给出了NNVQ和常规VQ的比较结果,并指出深入研究NNVQ的意义及方向。
The basic concepts of VQ, pattern recognition and neural network (NN) are discussed. The NN model and learning algorithm suitable for VQ are introduced emphatically. The comparison between NNVQ and conventional VQ is given. The significance and direction of NNVQ are pointed out.