| 基于ANN的高炮火力单元射击有利度评估 |
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| 引用本文： | 李丹,王巨海,姚光仑,成洪俊.基于ANN的高炮火力单元射击有利度评估[J].现代防御技术,2005,33(2):1-5. |
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| 作者姓名： | 李丹 王巨海 姚光仑 成洪俊 |
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| 作者单位： | 中国人民解放军防空兵指挥学院,河南,郑州,450052 |
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| 摘 要： | 采用ANN(人工神经网络)方法对高炮火力单元射击有利度进行评估是一种新的尝试。在对各影响因素进行分析与量化处理的基础上,建立了基于ANN的高炮火力单元射击有利度评估网络模型,并提供了网络的解算方法。通过某型高炮对不同目标射击的已知有利度评估值对网络进行的训练,确定了网络的各权值,并使学习误差达到了预先规定的标准,实现了对该型高炮对空射击有利度的评估。
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| 关 键 词： | ANN 高炮火力单元 射击有利度 评估 |
| 文章编号： | 1009-086X(2005)02-0001-05 |
| 修稿时间： | 2004年3月23日 |
Evaluation to the advantage degree of fire unit in the air defence operation based on ANN |
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| LI Dan,WANG Ju-hai,YAO Guang-lun,CHENG Hong-jun.Evaluation to the advantage degree of fire unit in the air defence operation based on ANN[J].Modern Defence Technology,2005,33(2):1-5. |
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| Authors: | LI Dan WANG Ju-hai YAO Guang-lun CHENG Hong-jun |
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| Abstract: | Evaluating the advantage degree of fire unit in the air defense operation using ANN is a new attempt. Based on the analysis and the quantization disposal,the advantange degree estimated model by ANN is established and the conclusion in given. By training the network using different known value collected from the certain anti-aircraft artillery,each weight were ascertained, the error standard was achieved, and the estimation of advantage degree of the certain anti-aircraft were realized. |
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| Keywords: | Artificial neural network(ANN) Antiaircraft fire unit Firing advantage degree Assessment(Evaluation) |
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