In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
The application of artificial neural network-genetic algorithm in optimization of extraction process of soluble fiber from mungbean residue was studied.
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。
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