Acceleration Techniques for the Network Inversion Algorithm
Summary :
We apply two acceleration techniques for the backpropagation algorithm to an iterative gradient descent algorithm called the network inversion algorithm. Experimental results show that these techniques are also quite effective to decrease the number of iterations required for the detection of input vectors on the classification boundary of a multilayer perceptron.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.2 pp.508-511
- Publication Date
- 1999/02/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Bio-Cybernetics and Neurocomputing
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Hiroyuki TAKIZAWA, Taira NAKAJIMA, Masaaki NISHI, Hiroaki KOBAYASHI, Tadao NAKAMURA, "Acceleration Techniques for the Network Inversion Algorithm" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 2, pp. 508-511, February 1999, doi: .
Abstract: We apply two acceleration techniques for the backpropagation algorithm to an iterative gradient descent algorithm called the network inversion algorithm. Experimental results show that these techniques are also quite effective to decrease the number of iterations required for the detection of input vectors on the classification boundary of a multilayer perceptron.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_2_508/_p
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@ARTICLE{e82-d_2_508,
author={Hiroyuki TAKIZAWA, Taira NAKAJIMA, Masaaki NISHI, Hiroaki KOBAYASHI, Tadao NAKAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={Acceleration Techniques for the Network Inversion Algorithm},
year={1999},
volume={E82-D},
number={2},
pages={508-511},
abstract={We apply two acceleration techniques for the backpropagation algorithm to an iterative gradient descent algorithm called the network inversion algorithm. Experimental results show that these techniques are also quite effective to decrease the number of iterations required for the detection of input vectors on the classification boundary of a multilayer perceptron.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - Acceleration Techniques for the Network Inversion Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 508
EP - 511
AU - Hiroyuki TAKIZAWA
AU - Taira NAKAJIMA
AU - Masaaki NISHI
AU - Hiroaki KOBAYASHI
AU - Tadao NAKAMURA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 1999
AB - We apply two acceleration techniques for the backpropagation algorithm to an iterative gradient descent algorithm called the network inversion algorithm. Experimental results show that these techniques are also quite effective to decrease the number of iterations required for the detection of input vectors on the classification boundary of a multilayer perceptron.
ER -
English
