Machine Learning in Pattern Recognition
نویسندگان
چکیده
Supervised or unsupervised classification is the main objective of pattern recognition. The statistical approach most popular that practised among several frameworks where recognition initially formulated. In recent past, neural network technique and methodology scheme from learning theory have garnered attention people. It requires proper to deal with design system. There are issues associated They class definition, sensing environment representation extraction selection features, cluster analysis, classifier design, learning, choosing training test samples. no solution general issue recognizing complex patterns arbitrary patterns. Data mining, web searching, retrieval multimedia various emerging applications require effective regulation techniques. purpose this paper give a detailed overview methods can be used in different stages also aims figure out research topics application highlighted challenging field.
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ژورنال
عنوان ژورنال: European Journal of Engineering and Technology Research
سال: 2023
ISSN: ['2736-576X']
DOI: https://doi.org/10.24018/ejeng.2023.8.2.3025