其中,对于多层感知器网络、径向基函数网络、多项式网络尤其关注。
Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.
最后,本算法与BP神经网络和多项式拟合算法比较,色彩转换精度有明显提高。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
它可以对多项式函数,神经网络,径向基函数进行训练。
It can train polynomial function, neural networks, or radial basis function (RBF) classifiers.
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