DocumentCode
350991
Title
An adaptive network for encoding data using piecewise linear functions
Author
Luttrell, S.P.
Author_Institution
DERA, Malvern, UK
Volume
1
fYear
1999
fDate
1999
Firstpage
198
Abstract
An objective function that encourages an encoder to have the minimum overall Euclidean reconstruction error is shown to lead to encoders that can be implemented using functions that depend only in a piecewise linear fashion on the input vector. From the neural network viewpoint, the optimal form of the probability that each neuron is the next one to fire is a piecewise linear function of the input vector
Keywords
encoding; adaptive network; input vector; minimum overall Euclidean reconstruction error; objective function; piecewise linear functions;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-721-7
Type
conf
DOI
10.1049/cp:19991108
Filename
819720
Link To Document