✦ LIBER ✦

Rapid backpropagation learning algorithms

✍ Scribed by Sung -Bae Cho; Jin H. Kim

Book ID: 112495057
Publisher: Springer
Year: 1993
Tongue: English
Weight: 938 KB
Volume: 12
Category: Article
ISSN: 0278-081X
DOI: 10.1007/bf01189872

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

TAO-robust backpropagation learning algo

TAO-robust backpropagation learning algorithm

✍ Alpha V. Pernía-Espinoza; Joaquín B. Ordieres-Meré; Francisco J. Martínez-de-Pis 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 343 KB

In several fields, as industrial modelling, multilayer feedforward neural networks are often used as universal function approximations. These supervised neural networks are commonly trained by a traditional backpropagation learning format, which minimises the mean squared error (mse) of the training

Neural networks with robust backpropagat

Neural networks with robust backpropagation learning algorithm

✍ B. Walczak 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 609 KB

Backpropagation learning algorithm with

Backpropagation learning algorithm with different learning coefficients for each layer

✍ Hirochika Takechi; Kenji Murakami; Masanori Izumida 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 703 KB

The backpropagation learning algorithm r

The backpropagation learning algorithm realized by an analogue circuit

✍ Martin Hasler 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB

Neocognitron learning by backpropagation

✍ Michihiro Ohno; Masato Okada; Kunihiko Fukushima 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 782 KB

A fuzzy backpropagation algorithm

✍ Stefka Stoeva; Alexander Nikov 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 391 KB

This paper presents an extension of the standard backpropagation algorithm (SBP). The proposed learning algorithm is based on the fuzzy integral of Sugeno and thus called fuzzy backpropagation (FBP) algorithm. Necessary and su cient conditions for convergence of FBP algorithm for single-output netwo