| 采用RAM加权技术的自适应模式识别系统 |
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| 引用本文： | 葛洪伟,张曦煌. 采用RAM加权技术的自适应模式识别系统[J]. 食品与生物技术学报, 1999, 18(1) |
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| 作者姓名： | 葛洪伟 张曦煌 |
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| 作者单位： | 无锡轻工大学信息与控制工程学院 |
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| 摘 要： | 简要介绍了利用ＲＡＭ网络实现的自适应模式识别系统（ＷＩＳＡＲＤ）的结构和工作原理，提出了利用ＲＡＭ加权技术优化系统性能的方法，就该方法对系统性能的优化给出了简例，并从理论上作了初步的证明。
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| 关 键 词： | 模式识别；神经网络；自适应 |
RAM Weighted Adaptive Pattern Recognition System |
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| Ge Hongwei Zhang Xihuang. RAM Weighted Adaptive Pattern Recognition System[J]. Journal of Food Science and Biotechnology, 1999, 18(1) |
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| Authors: | Ge Hongwei Zhang Xihuang |
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| Abstract: | Adaptive pattern recognition system based on ram network has found extensive application in various areas because of its massive parallel distributed processing ability, versatility and self adaptability. In this paper, we introduce briefly the structure and work principle of the system, and present a new method to improve the system with the ram weight technology. One example and tentative proof in theory also has been given in this paper to prove this method is effective. |
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| Keywords: | pattern recognition neural network self adaptive |
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