Pages that link to "Item:Q2495625"
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The following pages link to An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization (Q2495625):
Displaying 14 items.
- Multi-objective meta level soft computing-based evolutionary structural design (Q357983) (← links)
- A hybrid artificial neural network method with uniform design for structural optimization (Q1021172) (← links)
- Structural optimization using evolution strategies and neural networks (Q1971478) (← links)
- TONR: an exploration for a novel way combining neural network with topology optimization (Q2246269) (← links)
- Design of a motorcycle frame using neuroacceleration strategies in MOEAs (Q2271119) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Building resource auto-scaler with functional-link neural network and adaptive bacterial foraging optimization (Q2327502) (← links)
- Multi-database exploration of large design spaces in the framework of cascade evolutionary structural sizing optimization (Q2495621) (← links)
- Preferred design of recurrent neural network architecture using a multiobjective evolutionary algorithm with un-supervised information recruitment: a paradigm for modeling shape memory alloy actuators (Q2510324) (← links)
- Parallel computational strategies for structural optimization (Q4446830) (← links)
- Neurocomputing strategies for solving reliability‐robust design optimization problems (Q5405981) (← links)
- Large scale structural optimization: Computational methods and optimization algorithms. (Q5957107) (← links)
- Computationally efficient approximations using adaptive weighting coefficients for solving structural optimization problems (Q6483708) (← links)
- A general framework of high-performance machine learning algorithms: application in structural mechanics (Q6540749) (← links)
