A self-augmented radial basis function neural network for sensitive systems

Author:

Yang Yanxia1,Wang Pu1,Gao Xuejin1,Gao Huihui1

Affiliation:

1. Beijing university of technology, Ministry of education,Faculty of information technology, Engineering research center of digital community,Beijing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Key R&D project of Shandong Province

Beijing Municipal Commission of Education

Publisher

IEEE

Reference21 articles.

1. Reinforcement learning based fractional gradient descent RBF neural network control of inverted pendulum;xue;Control and Decision,2021

2. Dam deformation prediction based on wavelet transform and differential mutation BSO-BP algorithm;chen;Control and Decision,2021

3. A Resource-Allocating Network for Function Interpolation

4. sequential learning scheme for function approximation using minimal radial basis function neural networks;lu;Neural Computation,1997

5. A Generalized Growing and Pruning RBF (GGAP-RBF) Neural Network for Function Approximation

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