Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Classification is a common task that humans perform when making a decision. Techniques of Artificial Neural Networks (ANN) or statistics are used to help in an automatic classification. This work addresses a method based in Self-Organizing Maps ANN (SOM) and K-Nearest Neighbor (KNN) statistical classifier, called SOM-KNN, applied to digits recognition in car plates. While being much faster than more traditional methods, the proposed SOM-KNN keeps competitive classification rates with respect to them. The experiments here presented contrast SOM-KNN with individual classifiers, SOM and KNN, and the results are classification rates of 89.48±5.6, 84.23±5.9 and 91.03±5.1 percent, respectively. The equivalency beten SOM-KNN and KNN recognition results are confirmed with ANOVA test, which shows a p-value of 0.27.
['Leandro Augusto da Silva', 'Emilio Del-Moral-Hernandez']
I am writing a research paper on a idea A SOM combined with KNN for classification task
[{"from": "human", "value": "I am writing a research paper on a idea A SOM combined with KNN for classification task"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Classification is a common task that humans perform when making a decision. Techniques of Artificial Neural Networks (ANN) or statistics are used to help in an automatic classification. This work addresses a method based in Self-Organizing Maps ANN (SOM) and K-Nearest Neighbor (KNN) statistical classifier, called SOM-KNN, applied to digits recognition in car plates. While being much faster than more traditional methods, the proposed SOM-KNN keeps competitive classification rates with respect to them. The experiments here presented contrast SOM-KNN with individual classifiers, SOM and KNN, and the results are classification rates of 89.48\u00b15.6, 84.23\u00b15.9 and 91.03\u00b15.1 percent, respectively. The equivalency beten SOM-KNN and KNN recognition results are confirmed with ANOVA test, which shows a p-value of 0.27."}]