[基于多层人工神经网络的电阻断层扫描的研究,由Hadamard产品优化为人类胸部模型]

Zhenzhong Song1, Jianping Li1, Jianming Wen1

  • 1The Key Laboratory of Intelligent Operation and Maintenance Technology & Equipment for Urban Rail Transit of Zhejiang Province, Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, P. R. China.

概括

通过提高分辨率和减少工件,HMANN算法改善了电阻断层扫描 (EIT) 成像. 这种新的方法优化了多层人工神经网络,以获得更清晰的诊断图像.

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