结果表明，将神经网络和遗传算法用于结构损伤识别是有效的、可行的。
The results show that the NN and GA can be used in structural damage identification system effectively.
提出了一种新的基于扩张矩阵和遗传算法理论产生最优检测规则的方法。
We propose a new approach to generating optimum intrusion detection rules based on extension matrix and Genetic Algorithm(GA)theory.
本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。
This paper selects the features of text by using LSI and GA(Genetic Algorithm).
神经网络建模和遗传算法优化是求解工程优化问题的一种行之有效的方法。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
通过具体算例，将非线性最小二乘法和遗传算法的结果，分别进行了比较。
The result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
探讨了人工神经网络和遗传算法在酶法提取绿豆渣水溶性纤维素工艺优化方面的应用。
The application of artificial neural network-genetic algorithm in optimization of extraction process of soluble fiber from mungbean residue was studied.
基于优化模型和遗传算法的运算过程，编写计算程序，实现地下水数学模型的自动识别。
Based on the optimization model and the work process of genetic algorithms, the program was written to calibrate the groundwater model.
基于优化模型和遗传算法的运算过程，编写计算程序，实现地下水数学模型的自动识别。
Based on the optimization model and the work process of genetic algorithms, the program was written to calibrate the groundwater model.
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