LEADER 07445nam 22008535 450 001 9910438037203321 005 20251113180500.0 010 $a9783642375026 010 $a3642375022 024 7 $a10.1007/978-3-642-37502-6 035 $a(OCoLC)843876187 035 $a(MiFhGG)GVRL6YKV 035 $a(CKB)2670000000371199 035 $a(MiAaPQ)EBC1538752 035 $a(MiFhGG)9783642375026 035 $a(DE-He213)978-3-642-37502-6 035 $a(EXLCZ)992670000000371199 100 $a20130508d2013 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 /$fedited by Zhixiang Yin, Linqiang Pan, Xianwen Fang 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (xxii, 1265 pages) $cillustrations (some color) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v212 300 $a"Volume 1"--Cover. 300 $a"ISSN: 2194-5357." 311 08$a9783642375019 311 08$a3642375014 320 $aIncludes bibliographical references. 327 $aPreface; Contents; Part ITheories; 1 Remarks on Invariant Method of the Second-Order Linear Differential Equations with Variable Coefficients; Abstract; 1...Introduction; 2...The Invariant Variable of the Second Order Linear Differential Equations; 3...The Invariant Method of the Second Order Liner Differential Equations; 4...The Superiority of Invariant Method for the Second Order Liner Differential Equations; 4.1 Connection Solvable Method of Second Order Linear Differential Equation Constant Coefficient with Variable Coefficient 327 $a4.2 Connection Second Order Linear Homogeneous Differential Equation and Non-Homogeneous Equation4.3 Connection Second Order Linear Differential Equation the General Solution with Special Solution; 5...Discussion About invariant Method of the Second Order Linear Differential Equations; 5.1 The Integrable of the Second-Order Linear Differential Equation; 5.2 Discussion for Integrable Condition of the Second Order Linear Differential Equations; 6...Applications; Acknowledgments; References; 2 Convergence Analysis on Immune Optimization Solving CCP Problems; Abstract; 1...Introduction 327 $a2...Problem Description and Existence of Solutions3...Sample Average Approximation and Theoretical Analysis; 4...Algorithm Statement and Illustrations; 5...Convergence Study; 6...Experimental Study; 7...Conclusions and Further Work; Acknowledgments; References; 3 Robust Coordination with Transmission Delay and Measurement Noises; Abstract; 1...Introduction; 2...Problem Formulation; 3...Convergence Analysis; 4...Conclusion; Acknowledgments; References; 4 Study on the Importance of Cultural Context Analysis in Machine Translation; Abstract; 1Machine Translation: A Brief Introduction 327 $a2The Theory of Context of Culture3Cultural Context Analysis and Machine Translation; 4Conclusion; References; 5 The Evaluation Model of Construction Industry Financial Risk Based on SVM; Abstract; 1...Introduction; 2...The Selection of Sample and Cluster Analysis; 2.1 The Selection of Sample; 2.2 Cluster Analysis; 2.2.1 The Theory of Cluster Analysis; 2.2.2 Application of Cluster Analysis; 3...The SVM Model of Financial Risk Evaluation; 3.1 Support Vector Machine Theory; 3.2 Establishing SVM Model of Construction Industry Financial Risk Evaluation 327 $a3.3 Verifying the SVM Model of Construction Industry Financial Risk Evaluation4...Conclusion; Acknowledgments; References; 6 Replaceable Encoding for Basic Variable of Traffic Network Transportation Optimization Problem; Abstract; 1...Introduction; 2...TNTOP; 3...Replaceable Encoding for Basic Variable; 4...DNA Algorithm of TNTOP; 4.1 Closed Circle DNA Algorithm; 4.2 Analysis on Correctness and Complexity of DNA Algorithm; 4.2 Analysis on Correctness and Complexity of DNA Algorithm; 5...Analysis on Validity of DNA Algorithm; Acknowledgments; References 327 $a7 Upper and Lower Solutions of Boundary Value Problems for Impulsive Fractional Differential 330 $aInternational Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing, bringing together the world?s leading scientists from different areas of Natural Computing. Since 2006, the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009), Liverpool & Changsha (2010), Malaysia (2011) and India (2012). Following the successes of previous events, the 8th conference is organized and hosted by Anhui University of Science and Technology in China. This conference aims to provide a high-level international forum that researchers with different backgrounds and who are working in the related areas can use to present their latest results and exchange ideas. Additionally, the growing trend in Emergent Systems has resulted in the inclusion of two other closely related fields in the BIC-TA 2013 event, namely Complex Systems and Computational Neuroscience. These proceedings are intended for researchers in the fields of Membrane Computing, Evolutionary Computing and Genetic Algorithms, DNA and Molecular Computing, Biological Computing, Swarm Intelligence, Autonomy-Oriented Computing, Cellular and Molecular Automata, Complex Systems, etc. Professor Zhixiang Yin is the Dean of the School of Science, Anhui University of Science & Technology, China. Professor Linqiang Pan is the head of the research group of Natural Computing at Huazhong University of Science and Technology, Wuhan, China. Professor Xianwen Fang also works at the Anhui University of Science & Technology. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 ;$v212 606 $aBioinformatics 606 $aEvolution (Biology) 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aNeural networks (Computer science) 606 $aArtificial intelligence 606 $aComputational and Systems Biology 606 $aEvolutionary Biology 606 $aMathematical and Computational Engineering Applications 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aArtificial Intelligence 615 0$aBioinformatics. 615 0$aEvolution (Biology). 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aNeural networks (Computer science). 615 0$aArtificial intelligence. 615 14$aComputational and Systems Biology. 615 24$aEvolutionary Biology. 615 24$aMathematical and Computational Engineering Applications. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aArtificial Intelligence. 676 $a006.3 701 $aYin$b Zhixiang. $01762207 701 $aPan$b Linqiang. $01762208 701 $aFang$b Xianwen. $01762209 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438037203321 996 $aProceedings of the Eighth International Conference on Bio-Inspired Computing Theories and Applications (BIC-TA), 2013$94201992 997 $aUNINA