The unit vector s was chosen arbitrarily, and ห0 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
A new approach to real-time training of dynamic neural networks
โ Scribed by Fahmida N. Chowdhury
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 280 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0890-6327
- DOI
- 10.1002/acs.756
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