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International Conference on Natural Computation (ICNC)

作者： Hongwei Ge Wenli Du Feng Qian Yanchun Liang Automation Institute State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China College of Computer Science Jilin University Changchun China

A time-delay recurrent neural network (TDRNN) model is proposed. TDRNN has a simple structure but far more "depth" and "resolution ratio" in memory by introducing the time-delay and recurrent mechanism. A dynamic recurrent back propagation algorithm is developed. The optimal adaptive learning rates are derived in the sense of discrete-type Lyapunov stability to guarantee the fast convergence of the proposed model. More specifically, a TDRNN identifier and a TDRNN controller are utilized for identifying and controlling nonlinear systems. Numerical experiments show that the TDRNN has good effectiveness in the identification and control for dynamic systems.

关键词： Recurrent neural networks Nonlinear control systems Control systems Nonlinear systems System identification Artificial neural networks Automatic control Neurons Nonlinear dynamical systems Application software

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Fluorescence and Thermostability of Nanometer Porphyrin Trimer

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Chemical Research in Chinese Universities 2006年第1期22卷 14-16页

作者： SHI Ying-yan FA Huan-bao ZHENG Wen-qi LI Di SHAN Ning WANG Xing-qiao College of Chemistry Jilin University Changchun 130023 P. R. China Departement of Base Science Jilin Institute of Architecture and Civil Engineering Changchun 130021 R. R. China

A nanometer porphyrin trimer was firstly synthesized with 1 ,3-dibromopropane as a bridge-linked agent and the fluorescence property and thermostability were studied. The results show that the fluorescence property and thermostability of the trimer are different from those of monoporphyrin. The effects of the molecule structure on the optical property and the thermostability were also studied in detail.

关键词： Monoporphyrin Porphyrin trimer Fluorescence Thermostability

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Local surface shape recognition algorithm

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jilin Daxue Xuebao (Gongxueban)/Journal of jilin University (engineering and Technology Edition) 2006年第SUPPL. 1期36卷 130-133+152页

作者： Guo, Wei Hou, Wen-Bin Hu, Ping Guo, Shu-Hua Liu, Da-You College of Materials Science and Engineering Jilin University Changchun 130022 China College of Computer Science and Technology Jilin University Changchun 130022 China State Key Laboratory of Automobile Dynamic Simulation Institute of Auto-body and Die Engineering Jilin University Changchun 130022 China

To improve the design automatism and make the design more independent of design specialist, it is necessary to develop the intelligent CAD systems based on CBR (Case-based Reasoning). In the case-based intelligent computer aided stamping processing design system, it needs retrieve the former useful case by the local shape of the automobile panel surface. So auto recognition of the local shape of the automobile panel surface is the key issue. To quickly recognize the surface local shape, an improved method based on spin-images is presented. Then, in order to recognize the local shape more accurately, an altitude-image method is proposed and introduced into independently developed intelligent die-face CAD system based on CBR. By these two methods, the local 3D surface shape would be recognized quickly and accurately. The results show that the algorithm is effectual.

关键词： Automobile manufacture

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Visualization model of fuzzy region based on pleat set

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Xitong Fangzhen Xuebao / Journal of System Simulation 2006年第SUPPL.期18卷 340-342+346页

作者： Wu, De-Sheng Yu, Qiang-Yuan Institute of Information Spreading Engineering Changchun University of Technology Changchun 130012 China College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

Fuzziness modeling for spatial data is currently an important problem in geographic information systems and spatial databases. In many geographical applications, spatial regions do not always have sharply defined boundaries but frequently their interiors and boundaries are fuzzy. A fuzzy spatial region model was proposed based on pleat set and the property of fuzzy regions was analyzed. The calculation method of relative membership of point in fuzzy region was given, and visualization model based on absolute membership value was proposed. The practical case shows that the model based on pleat set is valuable in the fields such as GIS, geography and spatial database.

关键词： Fuzzy region GIS Pleat set Visualization

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A hybrid algorithm for solving generalized class cover problem

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2nd International Conference on Natural Computation, ICNC 2006

作者： Yanxin, Huang Chunguang, Zhou Yan, Wang Yongli, Bao Yin, Wu Yuxin, Li Institute of Genetics and Cytology Northeast Normal University Changchun 130024 China College of Computer Science and Technology Jilin University Changchun 130012 China Research Center of Agriculture and Medicine Gene Engineering Ministry of Education Northeast Normal University Changchun 130024 China

ISBN: (纸本)3540459014

A generalized class cover problem is presented in this article, and then reduced to a constrained multi-objective optimization problem. Solving this problem is significantly important to construct a robust classification system. Therefore, three algorithms for solving the generalized class cover problem are proposed, which are greedy algorithm, binary particle swarm optimization algorithm, and their hybrid algorithm. Comparison results of these three methods show that the hybrid algorithm can get better solutions in less runtime. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Constraint theory

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The TPSO algorithm to solve geometric constraint problems

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Journal of Computational Information Systems 2006年第4期2卷 1311-1316页

作者： Yuan, Hua Li, Wenhui Yi, Rongqin Zhao, Kong Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130012 China School of Computer Science and Engineering Changchun University of Technology Changchun 130012 China Suzhou Top Institute of Information Technology Suzhuo 215311 China

The constraint problem can be transformed to an optimization problem. Particle swarm optimization (PSO) is a new evolutionary computation technique. Even PSO has many attractive properties, but it lacks global search ability at the end of the run. This paper introduce a hybrid approach called the TPSO that simultaneously applies particle swarm optimization (PSO), and tabu search (TS) to create a generally well-performing search heuristics, and combat the problem of premature convergence. The new algorithm considers candidate solutions and their fitness as individuals, which are based on their recent search progress. The tabu search makes each particle to reset its record of its best position, to avoid making direction and velocity decisions on the basis of outdated information. The feasibility of the proposed method is demonstrated on Solving Geometric Constraint Problems.

关键词： computer aided design

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Performance of two Improved Particle Swarm Optimization In Dynamic Optimization Environments

Performance of two Improved Particle Swarm Optimization In D...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Guanyu Pan Quansheng Dou Xiaohua Liu College of Computer Science and Technology Jilin University Changchun Jilin China School of Information and Electronics Engineering Shandong Institute of Business and Technology Yantai Shandong China

The particle swarm optimization (PSO) was originally designed by Kennedy and Eberhart in 1995 and has been applied successfully in solving various optimization problems. The PSO idea is inspired by natural concepts such as fish schooling, bird flocking and human social relations. Two improved particle swarm optimization were introduced in this paper, which were swarm-core evolutionary particle swarm optimization (SCEPSO) and PSO with simulated annealing (PSOwSA). The performances of PSO, PSOwSA and SECPSO in dynamic environments were discussed, experiments for three type of dynamic optimization model imply that the SCEPSO can track a continuously changing solution reliably and accurately compare with PSO and PSOwSA

关键词： Particle swarm optimization Simulated annealing Design optimization Energy states Educational institutions Computational modeling Space technology Solid modeling Temperature computer science

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Design of GPS/INS integrated navigation system based on multisensor information fusion

Design of GPS/INS integrated navigation system based on mult...

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6th World Congress on Intelligent Control and Automation, WCICA 2006

作者： Chunmei, Huang Yantao, Tian Wanxin, Su Mao, Lu School of Communications Jilin University Changchun 130022 School of Computer Science and Engineering Changchun University of Technology Changchun 130012 Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033

ISBN: (纸本)1424403324

Two kinds of design methods of GPS/INS integrated navigation system are presented, that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error, we found that inertia velocity error would cause code loop track error. Consequently, the pseudo range meterage error is interrelated with inertia velocity error, which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system, it must affect the estimated precision of the kalman filter and maybe the system is unstable. Therefore, the second integrated navigation method is introduced. It adopts information fusion, federal kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal kalman filter algorithm. By analyzing, the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s, and improves the precision and reliability of the navigation system effectively, well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system. © 2006 IEEE.

关键词： Inertial navigation systems

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Design of GPS/INS Integrated Navigation System Based on Multisensor Information Fusion

Design of GPS/INS Integrated Navigation System Based on Mult...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Chunmei Huang Yantao Tian Wanxin Su Mao Lu School of Communications Jilin University Changchun China School of Computer Science & Engineering Changchun University of Technology Changchun China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy and Sciences Changchun China

Two kinds of design methods of GPS/INS integrated navigation system are presented, that is GPS/INS integrative system and integrated navigation system based on information fusion. By analyzing mathematics model of the first system error, we found that inertia velocity error would cause code loop track error. Consequently, the pseudo range meterage error is interrelated with inertia velocity error, which is complex to calculate. If this relativity is ignored in the state equation and observation equation of this system, it must affect the estimated precision of the Kalman filter and maybe the system is unstable. Therefore, the second integrated navigation method is introduced. It adopts information fusion, federal Kalman filter and covariance. And consider the above pertinence to analyze the navigation performance of the integration system. Then it gives the flow of federal Kalman filter algorithm. By analyzing, the conclusion is that velocity error of integrated navigation system drops from 0.5m/s to below 0.05m/s, and improves the precision and reliability of the navigation system effectively, well continuity and real-time capability. It provides an effective way for data analysis and process of fusion navigation system

关键词： Global Positioning System Navigation Equations Design methodology Mathematics Mathematical model Tracking loops State estimation Performance analysis Real time systems

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WDM: A New Efficient Visualization Method of Classifying Web Documents Based on SOM

WDM: A New Efficient Visualization Method of Classifying Web...

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International Conference on Computational Intelligence and Security

作者： Xi Bai Jigui Sun Hong Luo College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Information Science and Technology of Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)1424406048

We propose a new visualization method WDM to classify documents by adding in the position-factors of words such as the title-factor and the first-sentence-factor based on a SOM neural network. We also discuss the selection of the function which is used to calculate the belong-to-probability in neurons' reflecting process. The experimental results indicate that WDM makes the boundaries of different documents greatly more clear, and thus it can produce more accurate and intuitive classification compared to the visualization methods which do not have position-factors considered

关键词： Wavelength division multiplexing Visualization Neurons Neural networks Educational technology Educational institutions computer science Sun Laboratories computer networks

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