✦ LIBER ✦

Some rigorous results on the Hopfield neural network model

✍ Scribed by Hans Koch; Jacques Piasko

Publisher: Springer
Year: 1989
Tongue: English
Weight: 988 KB
Volume: 55
Category: Article
ISSN: 0022-4715
DOI: 10.1007/bf01041071

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

New rigorous results for the Hopfield's

New rigorous results for the Hopfield's neural network model

✍ Olivier François 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 343 KB

Rigorous results for the Hopfield model

Rigorous results for the Hopfield model with many patterns

✍ Michel Talagrand 📂 Article 📅 1998 🏛 Springer 🌐 English ⚖ 891 KB

Neural network modeling of associative m

Neural network modeling of associative memory: Beyond the Hopfield model

✍ Chandan Dasgupta 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 647 KB

Some Rigorous Results on a Stochastic GO

Some Rigorous Results on a Stochastic GOY Model

✍ D. Barbato; M. Barsanti; H. Bessaih; F. Flandoli 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 436 KB

Some new results on neural network appro

Some new results on neural network approximation

✍ K. Hornik 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 346 KB

We show that standardfeedforward networks with asl ew as a single hidden layer can uniformly approximate continuousfunctions on compacta provided that the activation function if; is locally R iemann integrable and nonpolynomial, and have universal LP(Jl) approximation capabilities for finite and com

Some rigorous results on the Sherrington

Some rigorous results on the Sherrington-Kirkpatrick spin glass model

✍ M. Aizenman; J. L. Lebowitz; D. Ruelle 📂 Article 📅 1987 🏛 Springer 🌐 English ⚖ 969 KB