Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition.
Lin XiaoSida XiaoYongjun HeJianhua DaiYaonan WangYiwei LiPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- high order
- nonlinear functions
- neural network
- tensor decomposition
- rbf network
- low rank
- hidden units
- higher order
- input output
- genetic algorithm
- lower order
- back propagation
- fuzzy neural network
- radial basis function
- activation function
- pairwise
- feed forward neural networks
- transfer function
- evolutionary computation
- basis functions
- nonlinear systems
- multilayer perceptron
- artificial neural networks
- fuzzy logic
- fuzzy systems
- markov random field
- neural network model
- feed forward
- control parameters
- covariance matrix
- recurrent neural networks
- linear combination
- network architecture
- rbf neural network
- fuzzy model
- neural nets
- bp neural network