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A hybrid approach for automated quality control combining learning vector quantization neural networks and fuzzy logic
- Source :
- Scopus-Elsevier
-
Abstract
- We describe in this paper a new hybrid intelligent approach for automated quality control combining Learning Vector Quantization (LVQ) and fuzzy logic. In our approach, LVQ neural networks are used for image processing and classification. Also, a set of fuzzy rules is used for solving the problem of automating the decision making for quality control. The fuzzy system contains the expert knowledge for quality evaluation. The new approach has been tested with the specific case of automating the quality control of tomato in a food processing plant with excellent results.
- Subjects :
- Learning vector quantization
Fuzzy classification
Contextual image classification
Artificial neural network
Neuro-fuzzy
business.industry
Computer science
Fuzzy set
Fuzzy control system
Machine learning
computer.software_genre
Fuzzy logic
Fuzzy electronics
Fuzzy set operations
Artificial intelligence
business
Intelligent control
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....16ae0fafda111368e811dc0336255520