The Conjugate Gradient Least Square Algorithm in Terahertz Tomography.
Karl H. MayAndreas KeilGeorg von FreymannFabian FriederichPublished in: IEEE Access (2021)
Keyphrases
- least squares
- levenberg marquardt
- conjugate gradient
- learning algorithm
- k means
- search space
- optimization algorithm
- optimal solution
- objective function
- convergence rate
- simulated annealing
- expectation maximization
- faster convergence
- image sequences
- neural network
- maximum likelihood estimation
- training algorithm
- global optimum
- euclidean space
- density estimation
- optimization method
- loss function
- probabilistic model