AVAC: A Machine Learning Based Adaptive RRAM Variability-Aware Controller for Edge Devices.
Shikhar TuliShreshth TuliPublished in: ISCAS (2020)
Keyphrases
- machine learning
- adaptive control
- learning systems
- knowledge acquisition
- control method
- pattern recognition
- adaptive fuzzy
- adaptive neural
- artificial intelligence
- decision trees
- active learning
- control system
- control algorithm
- feedback control
- nonlinear systems
- inductive learning
- closed loop
- machine learning methods
- cmac neural network
- sufficient conditions
- edge detection
- text mining
- machine learning algorithms
- mobile devices
- reinforcement learning
- control law
- learning algorithm
- adaptive controller
- computer vision
- feature selection
- controller design
- information extraction
- edge information
- smart phones
- natural language processing
- edge detector