✦ LIBER ✦

Network restoration using recurrent neural networks

✍ Scribed by G. Prem Kumar; P. Venkataram

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 212 KB
Volume: 8
Category: Article
ISSN: 1055-7148
DOI: 10.1002/(sici)1099-1190(199809/10)8:5<264::aid-nem298>3.0.co;2-o

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Bispectrum estimation using a recurrent

Bispectrum estimation using a recurrent neural network

✍ Takehiko Ogawa; Yukio Kosugi 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 202 KB 👁 1 views

Techniques using FFT have been used widely in the past for bispectrum estimation. However, when FFT was used for bispectrum estimation of data with many points, there was a problem of escalated level of calculation, making applications to real problems requiring real-time processing such as image pr

Dynamical systems produced by recurrent

Dynamical systems produced by recurrent neural networks

✍ Masahiro Kimura; Ryohei Nakano 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 237 KB 👁 2 views

Concerning the learning problems of recurrent neural networks (RNNs), this paper deals with the problem of approximating a dynamical system (DS) by an RNN as one extension of the problem of approximating trajectories by an RNN. In particular, we systematically investigate how an RNN can produce a DS

Phoneme boundary estimation using bidire

Phoneme boundary estimation using bidirectional recurrent neural networks and its applications

✍ Toshiaki Fukada; Mike Schuster; Yoshinori Sagisaka 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 180 KB 👁 1 views

This paper describes a phoneme boundary estimation method based on bidirectional recurrent neural networks (BRNNs). Experimental results showed that the proposed method could estimate segment boundaries significantly better than an HMM or a multilayer perceptron-based method. Furthermore, we incorpo

Intelligent control using multiple neura

Intelligent control using multiple neural networks

✍ Lingji Chen; Kumpati S. Narendra 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 168 KB 👁 2 views

Neural networks teaching using Evenet-20

Neural networks teaching using Evenet-2000

✍ E. J. Gonzalez; A. Hamilton; L. Moreno; R. M. Aguilar; R. L. Marichal 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 132 KB

## Abstract In optimization problems, neural networks have been proved as an efficient method. Because of this, students of Engineering should learn this tool properly in subjects as “Optimal Control” or “Intelligent Control.” In this paper, a planning for neural networks teaching is proposed. As t

Cultured neural networks

✍ Kevin Warwick 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 33 KB