Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 325-329 |
| Journal | Pattern Recognition Letters |
| Volume | 13 |
| Issue number | May, 1992 |
| DOIs | |
| Publication status | Published - 1992 |
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Adaptive quadratic Neural Nets. / Lim, S.G.; Alder, Michael; Hadingham, P.T.
In: Pattern Recognition Letters, Vol. 13, No. May, 1992, 1992, p. 325-329.Research output: Contribution to journal › Article
TY - JOUR
T1 - Adaptive quadratic Neural Nets.
AU - Lim, S.G.
AU - Alder, Michael
AU - Hadingham, P.T.
PY - 1992
Y1 - 1992
N2 - We present the theory and some results of a new algorithm for Artificial Neural Nets which behaves well on complex data sets. The algorithm uses adaptive quadratic forms as discriminant functions and is very fast compared with Back-Propagation - improvements of four orders of magnitude have been obtained.
AB - We present the theory and some results of a new algorithm for Artificial Neural Nets which behaves well on complex data sets. The algorithm uses adaptive quadratic forms as discriminant functions and is very fast compared with Back-Propagation - improvements of four orders of magnitude have been obtained.
U2 - 10.1016/0167-8655(92)90029-Y
DO - 10.1016/0167-8655(92)90029-Y
M3 - Article
VL - 13
SP - 325
EP - 329
JO - Pattern Recogniton Letters
JF - Pattern Recogniton Letters
SN - 0167-8655
IS - May, 1992
ER -