Predicting the topology of dynamic neural networks for the simulation of electronic circuits

被引：0

作者：

Schilders, W. H. A. ^{[1
,2
]}

机构：

[1] Eindhoven Univ Technol, NL-5600 MD Eindhoven, Netherlands

[2] NXP Semicond, NL-5656 AE Eindhoven, Netherlands

来源：

NEUROCOMPUTING | 2009年 / 73卷 / 1-3期

关键词：

Model order reduction; Dynamic neural networks; MOEST algorithm; Bartels-Stewart algorithm; Electronic circuit simulation; SUBSPACE MODEL IDENTIFICATION; ALGORITHM;

D O I：

10.1016/j.neucom.2009.06.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we discuss the use of the state-space modelling MOESP algorithm to generate precise information about the number of neurons and hidden layers in dynamic neural networks developed for the behavioural modelling of electronic circuits. The Bartels-Stewart algorithm is used to transform the information from the MOESP algorithm to the neural network formalism. The technique is related to the class of model order reduction algorithms that receives much attention in recent years, especially in the electronics industry. (C) 2009 Published by Elsevier B.V.

引用

页码：127 / 132

页数：6

共 50 条

[1] SIMULATION OF SOME VISUAL NEURAL NETWORKS WITH ANALOG ELECTRONIC CIRCUITS
MULLER, FJ
[J]. EXPERIMENTAL BRAIN RESEARCH, 1975, 23 : 147 - 147
[2] ELECTRONIC CIRCUITS FOR DYNAMIC SIMULATION OF A PLATE DISTILLATION COLUMN
CARLI, R
GERVASIO, V
[J]. QUADERNI DELL INGEGNERE CHIMICO ITALIANO, 1967, 3 (11): : 191 - &
[3] Modelling and simulation with neural and fuzzy-neural networks of switched circuits
Demir, Y
Uçar, A
[J]. COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2003, 22 (02) : 253 - 272
[4] Predicting Criticality and Dynamic Range in Complex Networks: Effects of Topology
Larremore, Daniel B.
Shew, Woodrow L.
Restrepo, Juan G.
[J]. PHYSICAL REVIEW LETTERS, 2011, 106 (05)
[5] ANALOG CIRCUITS FOR VARIABLE-SYNAPSE ELECTRONIC NEURAL NETWORKS
TSIVIDIS, Y
SATYANARAYANA, S
[J]. ELECTRONICS LETTERS, 1987, 23 (24) : 1313 - 1314
[6] Synthesis of Electronic Circuits for Nonlinear Dynamic System Simulation and Realization
Stork, Milan
Hrusak, Josef
Mayer, Daniel
[J]. PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE - RADIOELEKTRONIKA 2012, 2012, : 85 - 88
[7] Predicting transmembrane helical domains and topology in proteins with neural networks.
Fariselli, P
Casadio, R
[J]. BIOPHYSICAL JOURNAL, 1996, 70 (02) : MP167 - MP167
[8] Simulation of the effect of learning on the topology of the functional connectivity of neural networks
Garcia, I.
Jimenez, J.
Mujica, R.
[J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2014, 19 (04) : 1107 - 1112
[9] Simulation of quantum cellular automata circuits using neural networks
Ganesh, E. N.
Kishore, Lal
Rangachar, M. J. S.
[J]. ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL I, PROCEEDINGS, 2007, : 179 - +
[10] Dynamic simulation of a steam generator by neural networks
Masini, R
Padovani, E
Ricotti, ME
Zio, E
[J]. NUCLEAR ENGINEERING AND DESIGN, 1999, 187 (02) : 197 - 213

← 1 2 3 4 5 →