Titlebook: Intelligent Computing Theories and Applications; 8th International Co De-Shuang Huang,Jianhua Ma,M. Michael Gromiha Conference proceedings

Deleterious

书目名称Intelligent Computing Theories and Applications影响因子(影响力)




书目名称Intelligent Computing Theories and Applications影响因子(影响力)学科排名




书目名称Intelligent Computing Theories and Applications网络公开度




书目名称Intelligent Computing Theories and Applications网络公开度学科排名




书目名称Intelligent Computing Theories and Applications被引频次




书目名称Intelligent Computing Theories and Applications被引频次学科排名




书目名称Intelligent Computing Theories and Applications年度引用




书目名称Intelligent Computing Theories and Applications年度引用学科排名




书目名称Intelligent Computing Theories and Applications读者反馈




书目名称Intelligent Computing Theories and Applications读者反馈学科排名

拱形大桥

Research on New Algorithm of Topic-Oriented Crawler and Duplicated Web Pages Detectionhyperlinks which link to the topic-oriented pages. The crawl and Web pages detection method is a novel one, which was based on the semi-structured features of the website and content information. The results of experiment show that it is better than that of the existing algorithms proposed in the literature.

helper-T-cells

臆断

Two-Dimensional Locality Discriminant Projection for Plant Leaf Classificationant analysis. In this paper, we apply 2DLPP to plant leaf classification. 2D-LDP can detect the intrinsic class-relationships between the leaf images by incorporating both class label information and neighborhood information. The Experimental results show that 2D-DLPP has better classifying performance than other methods.

Palliation

An Eigengene-Based Classifier Committee Learning Algorithm for Tumor Classificationxtracted by the ICA algorithm. Finally, Bayesian sum rule (BSR) based SVM CCL algorithm is applied on these feature sets and the unknown labels are predicted. Experimental results on two DNA microarray datasets demonstrate that the proposed method is efficient and feasible for the tumor classification.

investigate

伪造者

Conference proceedings 2012July 2012. .The 85 revised full papers presented were carefully reviewed and selected from 753 submissions. The papers are organized in topical sections on neural networks, evolutionar learning and genetic algorithms, granular computing and rough sets, biology inspired computing and optimization, na

单调性

惩罚

Mean Square Exponential Stability of Hybrid Neural Networks with Uncertain Switching Probabilities rate matrix. By employing a Lyapunov functional, a linear matrix inequality (LMI) approach is developed to establish an easy-totest and delay-independent sufficient condition which guarantees that the dynamics of the neural network is globally exponentially stable in the mean square.

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