Titlebook: Advances in Natural Computation; First International Lipo Wang,Ke Chen,Yew Soon Ong Conference proceedings 2005 Springer-Verlag Berlin Hei

BULK

书目名称Advances in Natural Computation影响因子(影响力)




书目名称Advances in Natural Computation影响因子(影响力)学科排名




书目名称Advances in Natural Computation网络公开度




书目名称Advances in Natural Computation网络公开度学科排名




书目名称Advances in Natural Computation被引频次




书目名称Advances in Natural Computation被引频次学科排名




书目名称Advances in Natural Computation年度引用




书目名称Advances in Natural Computation年度引用学科排名




书目名称Advances in Natural Computation读者反馈




书目名称Advances in Natural Computation读者反馈学科排名

盲信者

Application of Support Vector Machines in Reciprocating Compressor Valve Fault Diagnosis yields must increase by over 5 million tons per year just to maintain current levels of rice consumption per person (IRRI, 1985). Because of the importance of rice production, extensive research efforts and progress have been made during the last 30 years to improve yields. Most of this research ha

LITHE

Respond

https://doi.org/10.1007/11539117DNA computing; algorithms; artificial intelligence; bioinformatics; cognition; evolution; expert system; kn

慷慨援助

978-3-540-28325-6Springer-Verlag Berlin Heidelberg 2005

荣幸

拱形大桥

Advances in Natural Computation978-3-540-31858-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

anaphylaxis

0302-9743 Overview: 978-3-540-28325-6978-3-540-31858-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

骑师

Commercial Banking Risk Management with higher performance, the traditional ART2A-C is developed with the fuzzy operators introduced in matching rule. Then the proposed method is applied to the classification and the new network is implemented as well as two other existed ARTs respectively. Experimental results show that the new method outperforms the traditional ones.

insurrection

Loss of Flight Controls, United Flight 232ure vectors are used to capture the geometrical characteristics of tool wear samples, and detection of tool wear is performed by using the model derived from the feature vectors in linear regression method. The signals of cutting force under the condition of tool non-wear and tool wear in 0.6 mm are