✦ LIBER ✦

Serial binary multiplication with feed-forward neural networks

✍ Scribed by Sorin Cotofana; Stamatis Vassiliadis

Book ID: 114297034
Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 433 KB
Volume: 28
Category: Article
ISSN: 0925-2312
DOI: 10.1016/s0925-2312(98)00112-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Training Algorithm with Incomplete Data

Training Algorithm with Incomplete Data for Feed-Forward Neural Networks

✍ Song-Yee Yoon; Soo-Young Lee 📂 Article 📅 1999 🏛 Springer US 🌐 English ⚖ 58 KB

Dynamic hysteresis modelling using feed-

Dynamic hysteresis modelling using feed-forward neural networks

✍ Dimitre Makaveev; Luc Dupré; Marc De Wulf; Jan Melkebeek 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 93 KB

Magnetic hysteresis modeling via feed-fo

Magnetic hysteresis modeling via feed-forward neural networks

✍ Serpico, C.; Visone, C. 📂 Article 📅 1998 🏛 IEEE 🌐 English ⚖ 159 KB

Invariance priors for Bayesian feed-forw

Invariance priors for Bayesian feed-forward neural networks

✍ Udo v. Toussaint; Silvio Gori; Volker Dose 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 1001 KB

Neural networks (NN) are famous for their advantageous flexibility for problems when there is insufficient knowledge to set up a proper model. On the other hand, this flexibility can cause overfitting and can hamper the generalization of neural networks. Many approaches to regularizing NN have been

Feed-forward neural networks for seconda

Feed-forward neural networks for secondary structure prediction

✍ T.W. Barlow 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 744 KB

Distributed Restoration in Optical Netwo

Distributed Restoration in Optical Networks using Feed-forward Neural Networks

✍ Demeter Gokisik Karpat; Semih Bilgen 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 167 KB