Pages that link to "Item:Q2305104"
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The following pages link to An inverse scattering approach for geometric body generation: a machine learning perspective (Q2305104):
Displaying 10 items.
- Generating geometric body shapes with electromagnetic source scattering techniques (Q779930) (← links)
- A neural network method for the inverse scattering problem of impenetrable cavities (Q779935) (← links)
- A neural network scheme for recovering scattering obstacles with limited phaseless far-field data (Q782041) (← links)
- ODE-RU: a dynamical system view on recurrent neural networks (Q2127486) (← links)
- Inverse problems in imaging and engineering science (Q2128525) (← links)
- Unique determinations in inverse scattering problems with phaseless near-field measurements (Q2188153) (← links)
- Reconstruction of acoustic source with high-curvature part (Q2697386) (← links)
- Broad Learning System with Preprocessing to Recover the Scattering Obstacles with Far–Field Data (Q6101913) (← links)
- A novel quantitative inverse scattering scheme using interior resonant modes (Q6110538) (← links)
- A novel recurrent neural network of gated unit based on Euler's method and application (Q6610134) (← links)
