Adaptive training and pruning in feedforward networks
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 106-107 |
| Journal / Publication | Electronics Letters |
| Volume | 37 |
| Issue number | 2 |
| Publication status | Published - 18 Jan 2001 |
Link(s)
Abstract
A local extended Kalman filter training and pruning approach is proposed to train feedforward networks. This approach is proposed specifically to reduce the computational complexity and storage requirement in large-scale practical problems. The performance of the proposed algorithm is demonstrated for the problem of handwritten digit recognition.
Citation Format(s)
Adaptive training and pruning in feedforward networks. / Chang, Sheng-Jiang; Sum, John; Wong, Kwok-Wo et al.
In: Electronics Letters, Vol. 37, No. 2, 18.01.2001, p. 106-107.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
