Titlebook: Computational Intelligence, Communications, and Business Analytics; Second International Jyotsna Kumar Mandal,Somnath Mukhopadhyay,Kousik D

使激動(dòng)

,Denkanst??e für Arbeitsgruppen,re. The experimental results show the effectiveness of ANN-SCG classifier. The ANN-SCG model provides 84.21% accuracy, 83.33% precision, 71.42% f-measure and 76.91% recall which is superior to the SVM and Ensemble classifiers.

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責(zé)任

Automatic Multiclass Classification of Foliar Leaf Diseases Using Statistical and Color Feature Extriven on the leaf. In this paper, image pre-processing methods like noise removal and contrast enhancement followed by colour space transformation and k-means clustering is used to segment affected parts of soybean leaves, after that both texture and colour features are extracted from segmented sampl

污點(diǎn)

exophthalmos

cajole

compel

poliosis

討好美人

Classification of Skin Cancer: ANN Trained with Scaled Conjugate Gradient Algorithmre. The experimental results show the effectiveness of ANN-SCG classifier. The ANN-SCG model provides 84.21% accuracy, 83.33% precision, 71.42% f-measure and 76.91% recall which is superior to the SVM and Ensemble classifiers.

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