Ye, Qiaolin; Ye, Ning; Zhang, Xunhua; Wu, Bo; Song, Aimei A new algorithm of classification based on support vector ACNN-SVM. (Chinese. English summary) Zbl 1199.68248 J. Zhengzhou Univ., Nat. Sci. Ed. 40, No. 3, 56-58 (2008). Summary: A new support vector algorithm of classification ACNN-SVM is put forward aiming at the deficiency of NN-SVM. Firstly, it prunes the training set according to whether it is the nearest neighbor or not and gets a SVM model. Secondly, the distance is calculated from each sample of the training samples set to its super-plane. The distance is deleted from the reserved training samples set if it is greater than the given threshold. A final SVM model is gotten through SVM training of the leaved samples set. The experiment shows that ACNN-SVM excels NN-SVM. MSC: 68T05 Learning and adaptive systems in artificial intelligence 68T10 Pattern recognition, speech recognition Keywords:ACNN-SVM algorithm; distance of the super plane; threshold Software:ACNN-SVM PDFBibTeX XMLCite \textit{Q. Ye} et al., J. Zhengzhou Univ., Nat. Sci. Ed. 40, No. 3, 56--58 (2008; Zbl 1199.68248)