Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units.
Guhyun KimVladimir KornijcukDohun KimInho KimJaewook KimHyo Cheon WooJi-Hun KimCheol Seong HwangDoo Seok JeongPublished in: IEEE Access (2019)
Keyphrases
- markov chain
- learning rules
- learning algorithm
- hebbian learning
- steady state
- neural network
- finite state
- biologically inspired
- monte carlo
- learning scheme
- state space
- monte carlo method
- markov process
- back propagation
- artificial neural networks
- transition probabilities
- random walk
- stationary distribution
- markov model
- monte carlo simulation
- spiking neural networks
- transition matrix
- machine learning
- active learning
- training data
- supervised learning
- search space
- synaptic weights
- learning problems
- bayesian networks