𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Local cluster neural net: Architecture, training and applications

✍ Scribed by Shlomo Geva; Kurt Malmstrom; Joaquin Sitte


Book ID
114296944
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
594 KB
Volume
20
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Local cluster neural net analog VLSI des
✍ Joaquin Sitte; Tim KΓΆrner; Ulrich RΓΌckert πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 333 KB
A fast neural net training algorithm and
✍ Thea Ghiselli-Crippa; Amro El-Jaroudi πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 832 KB

This paper describes a fast training algorithm for feedforward neural nets, as applied to a two-layer neural network to classify segments of speech as voiced, unvoiced, or silence. The speech classification method is based on five features computed for each speech segment and used as input to the ne

Training neural net classifier to improv
✍ Masahiro Kayama; Shigeo Abe πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 808 KB

## Abstract A training method for neural net classifiers is discussed from the viewpoint of improving their generalization capability. First, the conventional training method which minimizes the square sum of network output errors from training outputs is shown to be inappropriate. This is because