Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification

机译：函数学习和分类中递归径向基函数网络的收敛性和收敛速度

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In this paper we consider convergence and rates of convergence of the normalized recursive radial basis function networks in function learning and classification when network parameters are learned by the empirical risk minimization.

机译：在本文中，当通过经验风险最小化学习网络参数时，我们在函数学习和分类中考虑归一化递归径向基函数网络的收敛性和收敛速度。

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《International conference on artificial intelligence and soft computing》|2017年|107-117|共11页
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Adam Krzyzak; Marian Partyka;
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Nonlinear regression; Classification; Recursive radial basis function networks; MISE convergence; Strong convergence; Rates of convergence;

机译：非线性回归;分类;递归径向基函数网络; MISE收敛;强大的融合;收敛速度;

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专利

1. Convergence and rates of convergence of radial basis functions networks in function learning [J] . Krzyzak A., Niemann H. Nonlinear Analysis: An International Multidisciplinary Journal . 2001,第1aPta1期

机译：函数学习中径向基函数网络的收敛速度和收敛速度
2. Convergence properties of radial basis functions networks in function learning [J] . Adam Krzy?ak, Heinrich Niemann Procedia Computer Science . 2021,第a期

机译：径向基函数网络在功能学习中的收敛性质
3. An alternative local collocation strategy for high-convergence meshless PDE solutions, using radial basis functions [J] . Stevens D., Power H., Meng C.Y., Journal of Computational Physics . 2013,第Null期

机译：使用径向基函数的高收敛无网格PDE解决方案的替代局部配置策略
4. Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification [C] . Adam Krzyzak, Marian Partyka International Conference on Artificial Intelligence and Soft Computing . 2017

机译：递归径向基函数网络融合和函数学习和分类的收敛性和汇率
5. Recursive time- and order-update algorithms for radial basis function networks. [D] . Fun, Meng Hock. 2001

机译：径向基函数网络的递归时间和顺序更新算法。
6. Mutual Connectivity Analysis (MCA) Using Generalized Radial Basis Function Neural Networks for Nonlinear Functional Connectivity Network Recovery in Resting-State Functional MRI [O] . Adora M. DSouza, Anas Zainul Abidin, Mahesh B. Nagarajan, -1

机译：静态状态MRI中使用广义径向基函数神经网络进行非线性功能连接网络恢复的互连接分析（MCA）
7. Radial Basis Function Networks in Nonparametric Classification and Function Learning [O] . Balázs Kégl 2008

机译：非参数分类和函数学习中的径向基函数网络
8. Convergence Rates for the Mean Integrated Squared Errors of Some Nonparametric Density Estimators of Recursive delta-Function Type. [R] . Cheng, E. P., Serfling, R. J. 1979

机译：递归delta函数型非参数密度估计的均值积分平方误差的收敛速度。

Convergence and Rates of Convergence of Recursive Radial Basis Functions Networks in Function Learning and Classification

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