Radial basis function (RBF) neural network is performed through linear combination of nonlinear basis function.

径向基函数(RBF)神经网络通过非线性基函数的线性组合执行。

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A cascade neural network composed of double-layer radial basis function (RBF) and linear basis function (LBF) is proposed for pattern classification.

提出了由两层径基函数(RBF)和两层线性基本函数(LBF)网络组成的串联神经网络模式分类方法。

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Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.

文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。

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