Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search.
Xianzhen JiangJinbao JianPublished in: J. Comput. Appl. Math. (2019)
Keyphrases
- conjugate gradient
- line search
- convergence rate
- training algorithm
- levenberg marquardt
- faster convergence
- maximum likelihood estimation
- neural network
- artificial neural networks
- quadratic programming
- objective function
- risk minimization
- step size
- primal dual
- optimization procedure
- global convergence
- least squares
- search space