linear basis function 线性基本函数
linear-linear basis function 双线性基函数
basis of linear space 线性空间的基
orthogonal double linear function basis 正交双线性函数
basis of a linear space 线性空间的基
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。
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。
Take double parameters foundation model to improve Winkler model, and use finite difference method to resolve linear basis under columns and get linear equations which could be easily used in works.
采用双参数地基模型来改进温克尔地基模型，并用有限差分的方法求解任意荷载下条基的微分方程，得到便于工程计算的线性方程组。
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