Pages that link to "Item:Q1600798"
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The following pages link to An evaluation of back-propagation neural networks for the optimal design of structural systems. I: Training procedures (Q1600798):
Displaying 13 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. II: Numerical evaluation (Q1600799) (← links)
- Equivalent method of evaluating mechanical properties of perforated Ni-based single crystal plates using artificial neural networks (Q2175288) (← links)
- A dynamic all parameters adaptive BP neural networks model and its application on oil reservoir prediction (Q2467401) (← links)
- An enhanced hybrid method for the simulation of highly skewed non-Gaussian stochastic fields (Q2494935) (← links)
- Bayesian regularization neural networks for optimizing fluid flow processes (Q2494947) (← links)
- Subproblem optimization with regression and neural network approximators (Q2495624) (← links)
- A constructive algorithm of neural approximation models for optimization problems (Q3645129) (← links)
- Structural optimization by gradient-based neural networks (Q4935729) (← links)
