✦ LIBER ✦

Pyramidal Neuron as Two-Layer Neural Network

✍ Scribed by Panayiota Poirazi; Terrence Brannon; Bartlett W. Mel

Book ID: 115545063
Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 771 KB
Volume: 37
Category: Article
ISSN: 0896-6273
DOI: 10.1016/s0896-6273(03)00149-1

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Partitioning capabilities of two-layer n

Partitioning capabilities of two-layer neural networks

✍ Makhoul, J.; El-Jaroudi, A.; Schwartz, R. 📂 Article 📅 1991 🏛 IEEE 🌐 English ⚖ 594 KB

A hardware neuron model as a component o

A hardware neuron model as a component of the neural network

✍ Kazutoshi Koga; Nozomu Hoshimiya; Tadayuki Matsuos 📂 Article 📅 1980 🏛 John Wiley and Sons 🌐 English ⚖ 893 KB

Two-layer tree-connected feed-forward ne

Two-layer tree-connected feed-forward neural network model for neural cryptography

✍ Lei, Xinyu; Liao, Xiaofeng; Chen, Fei; Huang, Tingwen 📂 Article 📅 2013 🏛 The American Physical Society 🌐 English ⚖ 501 KB

Structural synthesis of fast two-layer n

Structural synthesis of fast two-layer neural networks

✍ A. Yu. Dorogov 📂 Article 📅 2000 🏛 Springer US 🌐 English ⚖ 923 KB

Two dimensional synaptically generated t

Two dimensional synaptically generated traveling waves in a theta-neuron neural network

✍ Remus Osan; Bard Ermentrout 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 215 KB

Wind energy prediction using a two-hidde

Wind energy prediction using a two-hidden layer neural network

✍ Giuseppe Grassi; Pietro Vecchio 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 340 KB

The power generated by wind turbines changes rapidly because of the continuous fluctuation of wind speed and air density. As a consequence, it can be important to predict the energy production, starting from some basic input parameters. The aim of this paper is to show that a two-hidden layer neural