Titlebook: Advances in Neural Networks – ISNN 2012; 9th International Sy Jun Wang,Gary G. Yen,Marios M. Polycarpou Conference proceedings 2012 Springe

Impacted

书目名称Advances in Neural Networks – ISNN 2012影响因子(影响力)




书目名称Advances in Neural Networks – ISNN 2012影响因子(影响力)学科排名




书目名称Advances in Neural Networks – ISNN 2012网络公开度




书目名称Advances in Neural Networks – ISNN 2012网络公开度学科排名




书目名称Advances in Neural Networks – ISNN 2012被引频次




书目名称Advances in Neural Networks – ISNN 2012被引频次学科排名




书目名称Advances in Neural Networks – ISNN 2012年度引用




书目名称Advances in Neural Networks – ISNN 2012年度引用学科排名




书目名称Advances in Neural Networks – ISNN 2012读者反馈




书目名称Advances in Neural Networks – ISNN 2012读者反馈学科排名

痛打

Community Prevention of Child Laborse. The performance of FMNN with new algorithm is checked by some benchmark data sets and compared with some traditional methods. All the results indicate that FMNN with new algorithm is effective. . environment.

Compass

evince

Kevin Gournay,Grant Devilly,Charles Brookeruracy and architecture of classifier. The feature vector of LDA, the fuzzification coefficient of FCM, and the polynomial type of RBF neural networks are optimized by means of PSO. The performance of the proposed classifier is illustrated with several benchmarking data sets and is compared with other classifier reported in the previous studies.

RACE

Community Quality-of-Life Indicatorshe transient disturbance characteristics can be effectively extracted by WT-based SK. With RBF neural network, the two kinds of transient disturbances can be effectively classified and recognized with the method in the paper.

暂时过来

Scleroderma

Making Decisions About Indicatorsby Poggio et al to analyze facial cues on several facial expression databases, showing that the method is accurate and satisfactory, indicating that the cortical like mechanism for facial expression recognition should be exploited in great consideration.

innate

Community Quality-of-Life Indicatorsmachine. It is a generic method that can be used with any suitable clustering method and any appropriate distance metric. The proposed method was tested on synthetic and real life datasets. The results show that this framework not only achieves dimensionality reduction but also improves the accuracy of a classifier.

Optimum

圣歌

0302-9743 proceedings of the 9th International Symposium on Neural Networks, ISNN 2012, held in Shenyang, China, in July 2012. The 147 revised full papers presented were carefully reviewed and selected from numerous submissions. The contributions are structured in topical sections on mathematical modeling; n