A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.

文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。

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Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.

针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。

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For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.

针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。

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