Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
On the problem of weight factors and functions in fusion applications
K. Bendjilali
, F. Belkhouche
School of Engineering (Behrend)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
1
Link opens in a new tab
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'On the problem of weight factors and functions in fusion applications'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Weight Function
100%
Fusion Application
100%
Sensor Fusion
100%
Weighting Factor
100%
Optimal Weights
50%
Sensor Accuracy
50%
Artificial Neural Network
25%
Neural Network
25%
Order of Accuracy
25%
Statistical Information
25%
Training Data
25%
Dynamic Parameters
25%
Sensor Integration
25%
Sensory Data
25%
Multi-sensor System
25%
Constrained Optimization Problem
25%
Multi-layer Artificial Neural Network
25%
Mathematics
Neural Network
100%
Weight Factor
100%
Weight Function
100%
Variance
33%
Minimizes
33%
Training Data
33%
Karush-Kuhn-Tucker Condition
33%
Constrained Optimization Problem
33%
Engineering
Fusion Application
100%
Sensor Fusion
100%
Weight Function
50%
Artificial Neural Network
50%
Quality Information
25%
Neural Data
25%
Multisensor System
25%
Computer Science
Neural Network
100%
Assignment Weight
66%
Optimization Problem
33%
Constrained Optimization
33%
Information Quality
33%
Statistical Information
33%
Training Data
33%
multi sensor
33%