A novel radial basis function neural network based on ant colony clustering (RBF-ACC) was proposed.
提出了一种基于蚁群聚类算法的径向基神经网络。
The rare suspension damping parameters of a jeep were optimized with radial basis function neural network.
以某汽车为例,采用径向基函数神经网络对后悬架的阻尼进行了优化。
Afterward, its output is estimated by radial basis function neural network (RBFNN) for extracting SEP features.
后级使用径向基神经网络作信号拟合,提取SEP信号的特征。
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