In accordance with the features of non-linear and time varying for ferment process, a support vector machines (SVM) model is established for estimating the concentration of product.
针对非线性时变的发酵过程,建立了用于产物浓度预估的支持向量机(SVM)模型。
In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form.
这个矩阵需要很大的存储量和计算量。本文利用矩阵的张量积将原有的矢量插值模型转化成矩阵插值模型。
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