Grey forecast model for torpedo development cost based on neural network

Liang Qingwei; Zhao Minquan; Wang Mengni

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Grey forecast model for torpedo development cost based on neural network

机译：基于神经网络的鱼雷研制费用灰色预测模型

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摘要

Cumulative curve of development cost for torpedo shows similar to shape S. Then grey Verhulst model of development cost for torpedo can be established by collecting the development cost historical data for several years. The fitted values and the predictive value can be gotten. To take full advantage of information contains in the historical data, a mapping between historical data and the predictive value using BP neural networks can be found through BP Neural Networks. Example shows that this method has good prediction accuracy.

机译：鱼雷研制费用的累积曲线类似于S型。然后通过收集几年的研制费用历史数据，建立鱼雷研制费用的灰色Verhulst模型。可以得到拟合值和预测值。为了充分利用历史数据中包含的信息，可以通过BP神经网络找到使用BP神经网络在历史数据和预测值之间的映射。实例表明，该方法具有良好的预测精度。

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来源
《Indian Journal of Marine Sciences》 |2017年第8期|1621-1626|共6页
作者
Liang Qingwei; Zhao Minquan; Wang Mengni;
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作者单位

Northwestern Polytech Univ, Coll Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China;

91404 Unit PLA, Qinhuangdao 066001, Hebei, Peoples R China;

Northwestern Polytech Univ, Coll Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Development cost; BP neural networks; Grey Verhulst model; Torpedo;

机译：开发成本BP神经网络灰色Verhulst模型鱼雷;

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Grey forecast model for torpedo development cost based on neural network

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