| 多层自适应模式识别系统模型 |
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| 引用本文： | 杨国庆,陈松灿,吕军. 多层自适应模式识别系统模型[J]. 航空学报, 1993, 14(2): 26-32 |
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| 作者姓名： | 杨国庆 陈松灿 吕军 |
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| 作者单位： | 南京航空学院计算机系,南京 210016 |
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| 摘 要： | 在英国WISARD单层模式识别系统的基础上,借助P.Kanerva的稀疏分布存贮(SDM)的概念,提出了~种新的多层自适应模式识别系统模型(MAPR)。并就其工作过程和主要特点作了较详细的叙述,还列出了多体印刷体汉字识别的初步试验结果。MAPR用稀疏RAN阵列代替WISARD的常规RAM阵列,用对n元模式计频的训练策略代替了原系统的直接置位策略。使系统除了保持原系统的重要优点外,在大维数或非确定性模式数据识别方面,其性能有了明显改善。
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| 关 键 词： | 模式识别 稀疏分布存贮 并行分布处理 神经元网络 |
| 收稿时间： | 1990-06-02 |
| 修稿时间： | 1991-05-31 |
A MULTI-LAYER ADAPTIVE PATLERN RECOGNITION SYSTEM MODEL |
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| Yang Guo-qing,Chen Song-can,Lu Jun. A MULTI-LAYER ADAPTIVE PATLERN RECOGNITION SYSTEM MODEL[J]. Acta Aeronautica et Astronautica Sinica, 1993, 14(2): 26-32 |
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| Authors: | Yang Guo-qing Chen Song-can Lu Jun |
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| Affiliation: | Depatment of Computer Nanjing Aeronautical Jnsfitute,Nanjing,210016 |
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| Abstract: | Based-on a single-layer pattern recognition system (WISARD) and referred to the concept of a sparse distributed memory (SDM) by P.Kanerva, this paper presents a novel multi-layer adaptive pattern recognition system model and describes in detail its processing procedures and main features. The results of primitive multi-font printed Chinese character recognition experiment are given.Unlike WISARD, MAPR replaces the normal RAM array with sparse RAM array, and the directly setting bit strategy with counting frequency training for n-tuple pattern, so that not only MAPR maintains the main advantages of WISARD, but its performance is obviously improved as well in the aspect of recognizing large-dimensional or non-deterministic pattern data. |
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| Keywords: | pattern recognition system.sparse distrobuted memory |
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