A neural-network approach to the electromagnetic imaging of elliptic conducting cylinders

✍ Scribed by Ravicharan Mydur; Krzysztof Arkadiusz Michalski

• Publisher: John Wiley and Sons
• Year: 2001
• Tongue: English
• Weight: 274 KB
• Volume: 28
• Category: Article
• ISSN: 0895-2477
• DOI: 10.1002/1098-2760(20010305)28:5<303::aid-mop1024>3.0.co;2-c

✦ Synopsis

The unit vector s was chosen arbitrarily, and ˆ0 z f L. The precision was set to 1.0 = 10 y3 . For each L, the function T was evaluated at 2 L 2 observation points. This is L in accordance with the demands of MLFMA. The results are presented in Table 2.

In the table, entries marked ''direct'' refer to the direct Ž .

2 evaluation of Eq. 1 at 2 L points, and those marked ''fast'' refer to the corresponding requirements for the algorithm presented in this paper. Note that, since the translation operators are almost always stored, there is no evaluation time reported for the direct approach.