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

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書(shū)目名稱Advances in Natural Computation影響因子(影響力)




書(shū)目名稱Advances in Natural Computation影響因子(影響力)學(xué)科排名




書(shū)目名稱Advances in Natural Computation網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Advances in Natural Computation網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Advances in Natural Computation被引頻次




書(shū)目名稱Advances in Natural Computation被引頻次學(xué)科排名




書(shū)目名稱Advances in Natural Computation年度引用




書(shū)目名稱Advances in Natural Computation年度引用學(xué)科排名




書(shū)目名稱Advances in Natural Computation讀者反饋




書(shū)目名稱Advances in Natural Computation讀者反饋學(xué)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

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

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

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拱形大橋

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

騎師

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