NEW ITERATIVE INVERSE SCATTERING ALGORITHMS BASED ON NEURAL NETWORKS

By introducing analogy between electromagnetic field problems and neur al network models, new iterative numerical methods are developed for i nverse scattering problems. Both recurrent and feedfoward neural netwo rk architectures are developed, and the validity of the proposed algor ithms is demonstrated by computer simulation for small dielectric cyli nders.