...值空间寻优的问题,以及原有神经网络权值的整型优化方法存在的不足,提出一种利用改进的遗传算法(Improved Genetic Algorithm,IGA)对神经网络进行整型权值学习优化的方法,以提高神经网络在嵌入式实时系统中的运行效率,并且大大地减少系统...
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笔者利用改进的遗传算法对系统进行了优化计算。
The author conducts optimized calculation of the system by using improved inherited arithmetic.
利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。
A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed.
本文基于光纤拉曼放大器(FRA)的非线性功率耦合方程，利用改进的遗传算法对泵浦源实施优化设计。
Based on the nonlinear power coupled equations of fiber Raman amplifiers (FRA), the optimal design to the pumps source has been done with modified genetic arithmetic in this paper.
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