The following pages link to (Q4362742):
Displaying 13 items.
- Improved Newton's method without direct function evaluations (Q1012522) (← links)
- Biologically inspired models to train neural networks (Q1403014) (← links)
- Training multilayer perceptrons via minimization of sum of ridge functions (Q1610214) (← links)
- Simulation of weight prunning process in backpropagation neural network for pattern classification: A self-running threshold approach (Q1818441) (← links)
- Training feedforward networks using simultaneous perturbation with dynamic tunneling (Q1852016) (← links)
- From linear to nonlinear iterative methods (Q1873166) (← links)
- Stabilization and speedup of convergence in training feedforward neural networks (Q1918572) (← links)
- A class of gradient unconstrained minimization algorithms with adaptive stepsize (Q1970409) (← links)
- A new hybrid genetic algorithm for global optimization (Q4378896) (← links)
- Geometry of learning: Visualizing the performance of neural network supervised training methods (Q4378897) (← links)
- On the alleviation of the problem of local minima in back-propagation (Q4378898) (← links)
- (Q4545028) (← links)
- (Q4880161) (← links)
