Pages that link to "Item:Q1600799"
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The following pages link to An evaluation of back-propagation neural networks for the optimal design of structural systems. II: Numerical evaluation (Q1600799):
Displaying 16 items.
- Multi-objective meta level soft computing-based evolutionary structural design (Q357983) (← links)
- A cascade optimization methodology for automatic parameter identification and shape/process optimization in metal forming simulation (Q996650) (← links)
- A hybrid artificial neural network method with uniform design for structural optimization (Q1021172) (← links)
- An optimal neural network and concrete strength modeling. (Q1395432) (← links)
- Development of ANN-based preliminary structural design systems for cable-stayed bridges. (Q1395447) (← links)
- An evaluation of back-propagation neural networks for the optimal design of structural systems. I: Training procedures (Q1600798) (← links)
- Design of structural modular neural networks with genetic algorithm (Q1860312) (← links)
- Using ontogenic classification networks in a smart structures application (Q1919967) (← links)
- How to control the crack to propagate along the specified path feasibly? (Q1985525) (← links)
- An interval uncertainty analysis method for structural response bounds using feedforward neural network differentiation (Q2174709) (← links)
- Bayesian regularization neural networks for optimizing fluid flow processes (Q2494947) (← links)
- Subproblem optimization with regression and neural network approximators (Q2495624) (← links)
- An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization (Q2495625) (← links)
- An empirical study of learning speed in back-propagation networks (Q2573009) (← links)
- A constructive algorithm of neural approximation models for optimization problems (Q3645129) (← links)
- Structural optimization by gradient-based neural networks (Q4935729) (← links)
