| 一种改进的自适应模式识别系统 |
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| 引用本文： | 葛洪伟,朱建鸿. 一种改进的自适应模式识别系统[J]. 食品与生物技术学报, 2000, 19(6): 626-630 |
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| 作者姓名： | 葛洪伟 朱建鸿 |
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| 作者单位： | 无锡轻工大学信息与控制工程学院,江苏无锡,214036 |
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| 摘 要： | 自适应模式识别系统具有大规模并行分布处理能力、通用性和自适应性 ,因而显示了巨大的潜力 .但由于其结构的原因 ,系统性能受到了一定的限制 .利用P .Kanerva提出的稀疏分布存贮原理对自适应模式识别系统进行改进 ,提出了一种新的系统模型 ,并就新系统的工作过程和主要特点作了较为详尽的叙述 .
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| 关 键 词： | 模式识别 稀疏分布存贮 神经网络 自适应 |
| 修稿时间： | 2000-08-24 |
A Kind of Improved Adaptive Pattern Recognition System |
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| GE Hong-wei,ZHU Jian-hong. A Kind of Improved Adaptive Pattern Recognition System[J]. Journal of Food Science and Biotechnology, 2000, 19(6): 626-630 |
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| Authors: | GE Hong-wei ZHU Jian-hong |
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| Abstract: | Adaptive pattern recognition system (WISARD) has found extensive applications in various areas because of its massive parallel distributed processing ability, versatility and self adaptability. However, it has the weakness in the system structure. In this paper,a WISARD system was improved with the principle of the sparse distributed memory(SDM), proposed by P.kanerva. The main feature and work process of the new system has been described in detail. |
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| Keywords: | pattern recognition sparse distributed memory neural network self adaptabilit$ |
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