| ECR源控制用的网络模型 |
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| 引用本文： | 杨化中,韩雪梅,张宇,姚泽恩.ECR源控制用的网络模型[J].核技术,2005,28(2):141-145. |
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| 作者姓名： | 杨化中 韩雪梅 张宇 姚泽恩 |
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| 作者单位： | 兰州大学,兰州,730000 |
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| 基金项目： | 国家自然科学基金(19975024)资助项目 |
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| 摘 要： | 在研究ECR源智能控制的理论模型时，对几种模型进行理论探讨，编程并做仿真实验，对其结果进行了分析。着重对模糊modular神经网络(即组合网络)进行描述，分析该模型的优缺点，并在实验中对仿真计算结果随学习次数、规则条数和学习率之间的变化关系进行了深入研究。
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| 关 键 词： | 电子回旋共振离子源 模糊神经网络 智能控制 |
Network models for controlling ECR source |
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| YANG Huazhong,HAN Xuemei,ZHANG Yu,YAO Ze'en.Network models for controlling ECR source[J].Nuclear Techniques,2005,28(2):141-145. |
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| Authors: | YANG Huazhong HAN Xuemei ZHANG Yu YAO Ze'en |
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| Abstract: | Various theoretical models of intelligentized control for ECR source were reviewed. Program compilation, simulation experiments and analysis of experiment results for some theoretical models were described, with emphasis on theoretical model of fuzzy-neural modular network ( combinatorial network ) . The merits and demerits of this model was analyzed in the light of simulation experiments of intelligentized control for ECR source. The computed results of simulation experiments are dependent on learning times, rule number and study rate. |
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| Keywords: | ECR source Fuzzy-neural modular Intelligentized control |
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