This dissertation presents the studies of genetic algorithms (GA) based model structure and parameters conjunct identification, PID optimization, and the engineering application method.
本论文是基于遗传算法(GA)的模型结构和参数共同辨识、PID参数的优化整定和工程应用方法的研究。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
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.
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。
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