The multidimensional function approximation based on constructive wavelet RBF neural network

A wavelet-based radial-basis function ne

A wavelet-based radial-basis function neural network approach to the inverse scattering of conducting cylinders

✍ Ulaş Aşık; Tayfun Günel; Işın Erer 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 149 KB

## Abstract A new approach, based on the radial‐bias function neural network (RBF‐NN) combined with wavelet transform, is presented for the estimation of the locations and radii of conducting cylindrical scatterers. The discrete wavelet transform coefficients of the electric‐field values scattered