Knowledge-Based Genetic Algorithms and its Application in Multi-Sensor Fusion

2008 ◽  
Author(s):  
Yuguang Niu ◽  
Gaowei Yan ◽  
Gang Xie ◽  
Zehua Chen ◽  
Keming Xie
Keyword(s):  
Genetic Algorithms ◽  
Sensor Fusion ◽  
Knowledge Based

A Knowledge Based Sensor Fusion Editor

1993 ◽  
pp. 325-341
Author(s):  
L. F. Pau ◽  
X. Xiao ◽  
C. Westphal
Keyword(s):  
Sensor Fusion ◽  
Knowledge Based

Resource efficient sensor fusion by knowledge-based network pruning

2020 ◽  
Vol 11 ◽  
pp. 100231 ◽  
Author(s):  
Dieter Balemans ◽  
Wim Casteels ◽  
Simon Vanneste ◽  
Jens de Hoog ◽  
Siegfried Mercelis ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Network Pruning ◽  
Knowledge Based

scholarly journals SYSTEM OF THE COMPLICATED PRACTICAL PROBLEMS ANALYSIS

2002 ◽  
Vol 7 (1) ◽  
pp. 83-92
Author(s):  
A. V. Kolesnikov ◽  
O. P. Fedorov
Keyword(s):  
Genetic Algorithms ◽  
Analytical Methods ◽  
Fuzzy Systems ◽  
System Analysis ◽  
Homogeneous Problem ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Inhomogeneous Problems ◽  
Methods Analytical ◽  
Modelling Methods

The original methodology of the system analysis of the inhomogeneous problem is offered, including stages of its reducing to homogeneous parts and selecting for them appropriate toolkits: methods and models. This system applies the accumulated knowledge and the experts skills to refer of each homogeneous problem to one or several alternative classes of modelling methods: analytical methods, statistical methods, artificial neuronets, knowledge based systems, fuzzy systems, genetic algorithms. The knowledge base testing has shown sufficiency and consistency of knowledge for realization of the inhomogeneous problems analysis even in conditions with a low and average distortion in the problem descriptions.

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