| 基于BP网络改进技术的雷达系统有效度分析 |
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| 引用本文： | 余新新. 基于BP网络改进技术的雷达系统有效度分析[J]. 武汉理工大学学报(交通科学与工程版), 2010, 34(2): 394-396,400. DOI: 10.3963/j.issn.1006-2823.2010.02.044 |
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| 作者姓名： | 余新新 |
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| 作者单位： | 武汉理工大学理学院,武汉,430063 |
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| 基金项目： | 国家自然科学资金项目资助(批准号:70971103) |
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| 摘 要： | 讨论了BP网络关键神经元选取方法及其在雷达系统有效度分析中的应用,从影响雷达系统使用有效度的4个因素中提取出了3个关键因素,实现以尽可能少的神经元建模,改进后的模型具有较高的预测精度,并且还从定量的角度对雷达系统有效度的分析提出了更为科学的决策依据.
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| 关 键 词： | BP网络 关键神经元 雷达 系统有效度 |
Radar System Efficiency Analysis Based on BP Network Improved Technique |
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| Yu Xinxin. Radar System Efficiency Analysis Based on BP Network Improved Technique[J]. journal of wuhan university of technology(transportation science&engineering), 2010, 34(2): 394-396,400. DOI: 10.3963/j.issn.1006-2823.2010.02.044 |
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| Authors: | Yu Xinxin |
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| Affiliation: | College of Sciences/a>;Wuhan University of Technology/a>;Wuhan 430063/a>;China |
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| Abstract: | In this paper,we discuss about BP network neuron selection method and apply it to radar system efficiency analysis.We propose to use three key factors out of four factors that have impact on radar system efficiency,to realize low complexity neuron modeling,also the model has the advantage of being more accurate,and provides more consolidate basis for qualitative radar system efficiency analysis.We show pleasing result in this paper.Our technique offers new directions of how to do right decision when there i... |
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| Keywords: | BP network key neuron radar system efficiency |
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