Universality and approximation bounds for echo state networks with random weights.
Zhen LiYunfei YangPublished in: CoRR (2022)
Keyphrases
- echo state networks
- error bounds
- recurrent neural networks
- error tolerance
- upper bound
- approximation methods
- weight function
- stage stochastic programs
- cellular automata
- lower bound
- approximation algorithms
- worst case
- weighted sum
- central limit theorem
- relative importance
- upper and lower bounds
- approximation error
- tight bounds
- markovian decision
- linear combination
- data sets
- lower and upper bounds
- constant factor
- average case
- approximation guarantees
- randomized algorithm
- training error
- weighted average
- queueing networks
- uniformly distributed
- theoretical analysis
- support vector