## Abstract The detection of genotypes that predict common, complex disease is a challenge for human geneticists. The phenomenon of epistasis, or gene‐gene interactions, is particularly problematic for traditional statistical techniques. Additionally, the explosion of genetic information makes exha
✦ LIBER ✦
Fast backpropagation learning using optimization of learning rate for pulsed neural networks
✍ Scribed by Kenji Yamamoto; Seiichi Koakutsu; Takashi Okamoto; Hironori Hirata
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2011
- Tongue
- English
- Weight
- 524 KB
- Volume
- 94
- Category
- Article
- ISSN
- 1942-9533
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## Abstract This article describes the application of the optimal transfer function neural network methodology for fast and accurate function approximation of Q‐integrals, that appears in directivity expressions of circular‐shape antennas, such as loop, microstrip patch, and aperture in an infinite