Learning the Error Features of Approximate Multipliers for Neural Network Applications.
Hai MoYong WuHonglan JiangZining MaFabrizio LombardiJie HanLeibo LiuPublished in: IEEE Trans. Computers (2024)
Keyphrases
- neural network
- reinforcement learning
- learning tasks
- learning algorithm
- supervised learning
- low level
- feature hierarchies
- online learning
- prior knowledge
- feature set
- genetic algorithm
- learning problems
- error bounds
- incremental learning
- active learning
- learning process
- feature extraction
- learning systems
- false positives
- multilayer perceptron
- learning models
- learning rules
- data sets