文章用径向基神经网络设计内模控制系统。
This paper designs a internal model control system with radial basis function neural networks.
结果表明,用径向基神经网络预测股价是可行的和有效的。
Results of prediction experiments with real data prove the efficiency of our prediction method based on Radial Basis Function neural network.
最后,用径向基神经网络原理对载机导引器的优化作了研究。
Lastly, the optimized proportional navigation of modern fighter is researched with radial basis function (RBF).
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