✦ LIBER ✦

On the approximation by neural networks with bounded number of neurons in hidden layers

✍ Scribed by Ismailov, Vugar E.

Book ID: 121739254
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 238 KB
Volume: 417
Category: Article
ISSN: 0022-247X
DOI: 10.1016/j.jmaa.2014.03.092

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Erratum to: Bounds on the number of hidd

Erratum to: Bounds on the number of hidden neurons in three-layer binary neural networks [Neural Networks 16 (7) 995–1002]

✍ Zhaozhi Zhang; Xiaomin Ma; Yixian Yang 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 46 KB

Approximation of functions by perceptron

Approximation of functions by perceptron networks with bounded number of hidden units

✍ Věra Kůrvoká 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 481 KB

Approximation by ridge functions and neu

Approximation by ridge functions and neural networks with one hidden layer

✍ Charles K. Chui; Xin Li 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 516 KB

Bounds on the number of hidden units in

Bounds on the number of hidden units in binary-valued three-layer neural networks

✍ Masahiko Arai 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 461 KB

For three-layer art~l~cial neural networks (TANs) that take binao, vahtes, the number of hidden units is considered regarding two problems: One is to find the necessary and sufficient number to make mapping between the binary output values of TANs and learning patterns (inputs) arbitrary; and the ot

Limitations of the approximation capabil

Limitations of the approximation capabilities of neural networks with one hidden layer

✍ C. K. Chui; Xin Li; H. N. Mhaskar 📂 Article 📅 1996 🏛 Springer 🌐 English ⚖ 622 KB

Approximation by neural networks with a

Approximation by neural networks with a bounded number of nodes at each level

✍ G. Gripenberg 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 130 KB