Name
Title | ||
|---|---|---|
Predicting the topology of dynamic neural networks for the simulation of electronic circuits |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.neucom.2009.06.011 | Neurocomputing |
Keywords | Field | DocType |
moest algorithm,electronic circuit,behavioural modelling,hidden layer,model order reduction,moesp algorithm,dynamic neural network,precise information,electronics industry,bartels-stewart algorithm,neural network formalism,bartels–stewart algorithm,electronic circuit simulation,dynamic neural networks,model order reduction algorithm,state space,neural network | Physical neural network,Model order reduction,Computer science,Time delay neural network,Electronics,Artificial intelligence,Formalism (philosophy),Artificial neural network,Electronic circuit,Electronic circuit simulation,Machine learning | Journal |
Volume | Issue | ISSN |
73 | 1-3 | Neurocomputing |
Citations | PageRank | References |
1 | 0.41 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| W. H. A. Schilders | 1 | 1 | 0.75 |