Study of objective intelligent recognition based on ANN+DS evidence theory

Qu Dong-cai, Zhou Sheng-ming, Shi Xian-jun, Tang Da-quan
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Abstract

The methods of the objector intelligent recognition based on artificial neural networks (ANN) + Dempster-Shafter (D-S) evidence combination theory has been studied in this article. The intelligent recognition tactics has been set forth, and the method and procedure of multisensor data fusion intelligent recognition on account of calculating case has been presented; Because D-S evidence combination theory is another important uncertainty inducing method different from information processing by neural network, it is applied widely in intelligent information processing, and highly practical in engineering. On concisely introducing the Dempster-Shafer evidence combination theory frame, last put forward some questions to be inquired.
基于ANN+DS证据理论的客观智能识别研究
研究了基于人工神经网络(ANN)和邓普斯特-谢夫特(D-S)证据组合理论的目标智能识别方法。提出了智能识别策略,并根据计算实例给出了多传感器数据融合智能识别的方法和步骤;D-S证据组合理论是不同于神经网络信息处理的另一种重要的不确定性诱导方法,在智能信息处理中应用广泛,具有很强的工程实用性。在简要介绍Dempster-Shafer证据组合理论框架的基础上,提出了一些有待探讨的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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