考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
提出一种新的基于神经网络多步时序预测的非线性系统故障诊断方法。
A new approach to fault diagnosis of nonlinear systems, which USES multistep prediction of time series based on neural network, is presented in this paper.
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