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Network model

Known as: Network model (database), Network database, Network database model 
The network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that… 
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Related topics

19 relations
CODASYLData Base Task GroupData modelDatabase

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Global dissipativity of stochastic neural networks with time delay
Highly Cited
2008
Highly Cited
2008
Dealing with subjectivity in early product design phase: A systematic approach to exploit Quality Function Deployment potentials
Highly Cited
2006
Highly Cited
2006
Tomographical Imaging and Mathematical Description of Porous Media Used for the Prediction of Fluid Distribution
Flow and transport processes in porous media depend on the geometric properties of their pores, where the diameters typically… 
Highly Cited
2005
Highly Cited
2005
Risk assessment of generators bidding in day-ahead market
Competition in power markets exposes companies which participate in physical and financial uncertainties. Generator companies… 
Highly Cited
2004
Highly Cited
2004
DAPR: a protocol for wireless sensor networks utilizing an application-based routing cost
As wireless sensor networks continue to attract more attention, new ideas for applications are continually being developed, many… 
Review
2000
Review
2000
Survey of random neural network applications
Highly Cited
1999
Highly Cited
1999
Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
Highly Cited
1995
Highly Cited
1995
Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation
Highly Cited
1992
Highly Cited
1992
Error surfaces for multilayer perceptrons
Characteristics of error surfaces for the multilayer perceptron neural network that help explain why learning techniques that use… 
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