Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks.
Zhong LiJiequn HanWeinan EQianxiao LiPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- echo state networks
- recurrent networks
- artificial neural networks
- closed form
- reservoir computing
- complex valued
- neural model
- optimization algorithm
- linear approximation
- global optimization
- error tolerance
- cascade correlation
- semidefinite
- optimization problems
- real time
- data mining
- markov chain
- feedforward neural networks
- quadratic programming
- optimal control
- state space
- piecewise constant
- approximation spaces
- input output
- reinforcement learning
- linear functions
- linear model
- evolutionary algorithm