𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A neural-network approach to the inverse-scattering problem from a circular conducting cylindrical scatterer

✍ Scribed by A-K. Hamid


Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
208 KB
Volume
13
Category
Article
ISSN
0895-2477

No coin nor oath required. For personal study only.

✦ Synopsis


A nertral-neh~orh approucli is riei.ekiped to itiwstigate tl7e irii,erse ~caftt'rrti,y from a perfectlv coridrrcring circular d i n d e r due to a normal field incidence. The neural network, is itsed to predict the electrical radius ka of ( I circular cylinder h\ rewi enng the coinp1e.u coefficients of the c vlindricul wui'e expansion qf the scrrttered ,field. The rieriral nehr.ork. rlicwfore. is trained 10 inodel the nonlinear relation betweeti tlie electrical rmliii5 arid tlie izronmrtrl raliws of the complex expantiun coefficients of the far field.