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神经网络与符号推理集成系统在桩基检测中的初步应用
引用本文:杨忠,盛昭瀚.神经网络与符号推理集成系统在桩基检测中的初步应用[J].实验力学,1998,13(1):66-71.
作者姓名:杨忠  盛昭瀚
作者单位:东南大学系统工程研究所
摘    要:本文提出一种神经网络与符号推理集成系统INNSI(IntegrationofNeuralNetworkandSymbolicInference)。该系统的特点是领域规则和学习样本能够共同对系统做出贡献。通过桩基完整性检测仿真试验,验证了应用该方法检测桩基的完整性是有效的,并且优于单独使用符号推理方法或神经网络方法。

关 键 词:集成系统  神经网络  符号推理  桩基检测

An Integrated System for Neural Network and Symbolic Inference and Its Application to Integrity Detection of Foundation Piles
YANG Zhong,SHENG Zhaohan.An Integrated System for Neural Network and Symbolic Inference and Its Application to Integrity Detection of Foundation Piles[J].Journal of Experimental Mechanics,1998,13(1):66-71.
Authors:YANG Zhong  SHENG Zhaohan
Abstract:An Integrated system for neural network and symbolic inference is presented. In the system the two intelligent functions, neural network and symbolic inference, may work together to make contribution. By applying it to the computer simulation for integrity detection of foundation piles, the system is proved to be effective.
Keywords:integration system  neural network  symbolic inference  integrity detection of foundation piles  
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