【摘 要】
：
本文将神经网络分析法应用于土石坝风险评价,利用人工神经网络特有的自学习和联想记忆功能,能够模拟人脑思维的方式进行分析推理,能够在一定程度上克服资料占有不足以及经验
【机 构】
：
华北水利水电学院,河南省水利科学研究院,
论文部分内容阅读
本文将神经网络分析法应用于土石坝风险评价,利用人工神经网络特有的自学习和联想记忆功能,能够模拟人脑思维的方式进行分析推理,能够在一定程度上克服资料占有不足以及经验方面的局限性的特点,适当选取参数训练网络,可得出较高的可信度。
In this paper, the neural network analysis method is applied to the risk assessment of earth-rock dams. By using the self-learning and associative memory features unique to artificial neural networks, the method can simulate the thinking of human brain and make analysis and reasoning, which can overcome the insufficiency of data possession and experience Limitations of the characteristics of the appropriate selection of training network parameters, can be obtained with higher credibility.
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