Li | Computational Intelligence and Intelligent Systems | Buch | 978-3-642-04961-3 | sack.de

Buch, Englisch, Band 51, 484 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: Communications in Computer and Information Science

Li

Computational Intelligence and Intelligent Systems

4th International Symposium on Intelligence Computation and Applications, ISICA 2009, Huangshi, China, October 23-25, 2009

Buch, Englisch, Band 51, 484 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 756 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-642-04961-3
Verlag: Springer


VolumesofLNCS 5821andCCIS51aretheproceedingsofthe 4thInternational Symposium on Intelligence Computation and Applications (ISICA 2009) held in Huangshi, China, October 23–25, 2009. These two volumes are in memory of Prof. Lishan Kang, the ISICA 2009 Honorary General Chair, who was a leading ?gurein the ?elds of domain decomposition methods and computational intelligence. ISICA 2009 successfully attracted over 300 submissions. Through rigorous reviews, 58 high-quality papers were included in LNCS 5821, while the other 54 papers were collected in CCIS 51. ISICA conferencesare one of the ?rst series of internationalconferencesoncomputationalintelligencethatcombineelementsof learning, adaptation, evolution and fuzzy logic to create programsas alternative solutions to arti?cial intelligence. The last three ISICA proceedings have been accepted in the Index to Scienti?c and Technical Proceedings (ISTP) and/or Engineering Information (EI). Following the success of the past three ISICA events, ISICA 2009 made good progress in the analysis and design of newly developed methods in the ?eld of computationalintelligence. ISICA 2009featured the most up-to-dateresearchin analysisandtheoryofevolutionaryalgorithms,neuralnetworkarchitecturesand learning, fuzzy logic and control, predictive modeling for robust classi?cation, swarm intelligence, evolutionary system design, evolutionary image analysis and signal processing, and computational intelligence in engineering design. ISICA 2009 provided a venue to foster technical exchanges, renew everlasting frie- ships, and establish new connections.
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Section I: Computational Intelligence Applications.- Omnidirectional Motion Control for the Humanoid Soccer Robot.- Routing Algorithm Based on Gnutella Model.- Sliding-Window Recursive PLS Based Soft Sensing Model and Its Application to the Quality Control of Rubber Mixing Process.- The Research of Method Based on Complex Multi-task Parallel Scheduling Problem.- Towards a Bio-inspired Security Framework for Mission-Critical Wireless Sensor Networks.- Section II: Evolutionary Algorithms.- A Cluster-Based Orthogonal Multi-Objective Genetic Algorithm.- An Analysis of Semantic Aware Crossover.- An Artificial Immune Univariate Marginal Distribution Algorithm.- An Multi-objective Evolutionary Algorithm with Lower-Dimensional Crossover and Dense Control.- Improved Evolutionary Programming and Its Application in Navigation System.- Multi-objective Emergency Facility Location Problem Based on Genetic Algorithm.- Trigonometric Curve Fitting Based on Genetic Algorithm and the Application of Data Processing in Geography.- Section III: Evolutionary Design.- A Novel Crossover Operator in Evolutionary Algorithm for Logic Circuit Design.- Aptasensors Design Considerations.- Latent Semantic Analysis of the Languages of Life.- Protein Folding Simulation by Two-Stage Optimization.- Search Direction Made Evolution Strategies Faster.- Topology Organization in Peer-to-Peer Platform for Genetic Algorithm Environment.- Section IV: Evolutionary Image Analysis and Signal Processing.- Almost Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-Varying and Distributed Delays.- Applications of Computational Intelligence in Remote Sensing Image Analysis.- Association Relation Mining in Multimedia Data.- DSA Image Blood Vessel Skeleton Extraction Based on Anti-concentration Diffusion and Level Set Method.- Space Camera Focusing Forecast Based on RBF Network.- Wood Defect Identification Based on Artificial Neural Network.- Section V: Evolutionary Optimization.- An Improved Self-adaptive Control Parameter of Differential Evolution for Global Optimization.- Distributed Evolutionary Algorithms to TSP with Ring Topology.- Self-adaptation in Fast Evolutionary Programming.- Solving SAT Problem Based on Hybrid Differential Evolution Algorithm.- The Application of Evolution-Branching Algorithm on Earth-Mars Transfer Trajectory.- The Research of Solution to the Problems of Complex Task Scheduling Based on Self-adaptive Genetic Algorithm.- Section VI: Fuzzy Logic Systems.- A Novel Approach on Designing Augmented Fuzzy Cognitive Maps Using Fuzzified Decision Trees.- Computation of Uncertain Parameters by Using Fuzzy Synthetic Decision and D-S Theory.- FAHP-Based Fuzzy Comprehensive Evaluation of M&S Credibility.- Indirect Dynamic Recurrent Fuzzy Neural Network and Its Application in Identification and Control of Electro-Hydraulic Servo System.- Logistics Distribution Center Location Evaluation Based on Genetic Algorithm and Fuzzy Neural Network.- Mean-VaR Models and Algorithms for Fuzzy Portfolio Selection.- MOEA-Based Fuzzy Control for Seismically Excited Structures.- Section VII: Hybrid Methods.- A Hybrid E-Institution Model for VOs.- An Optimal Class Association Rule Algorithm.- Multiple Sequence Alignment Based on Chaotic PSO.- Model Checking Algorithm Based on Ant Colony Swarm Intelligence.- QPSO-MD: A Quantum Behaved Particle Swarm Optimization for Consensus Pattern Identification.- Section VIII: Neural Network Architectures.- Prediction of Hydrocarbon Reservoir Parameter Using a GA-RBF Neural Network.- Qualitative Simulation of Teachers Group Behaviors Based on BP Neural Network.- Stabilization of Switched Dynamic Neural Networks with Discrete Delays.- ANN Designing Based on Co-evolutionary Genetic Algorithm with Degeneration.- Research on ACA-BP Neural Network Model.- Section IX: Predictive Modeling for Classification.- A Text-Independent Speaker Verification System Based on Cross Entropy.- An Improved Algorithm of Apriori.- An Incremental Clustering with Attribute Unbalance Considered for Categorical Data.- Decision Tree Classifier for Classification of Plant and Animal Micro RNA’s.- Embedded Classification Learning for Feature Selection Based on K-Gravity Clustering.- Evaluation Measures of the Classification Performance of Imbalanced Data Sets.- Hybrid Classification of Pulmonary Nodules.- Erratum.- Erratum to: Evaluation Measures of the Classification Performance of Imbalanced Data Sets.


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