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Fuzzy neural network structure identification based on soft competitive learning

International Journal of Hybrid Intelligent Systems 2007年第4期4卷 231-242页

作者： Tian, Daxin Liu, Yanheng Wang, Jian College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University 130012 China

Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebb as well as soft competitive learning. The soft competitive learning cannot only let SLNN be able to learn from new data but also prevent it from losing the knowledge that has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN, which does not disobey the basic design philosophy of fuzzy system. Simulations are performed on the primary benchmarks: circle-in-the-square, two spirals apart, UCI machine learning archive's synthetic control chart time series, and KDDCUP'99 data set. Compared with fuzzy ARTMAP, BP and hierarchical neuro-fuzzy quadtree (HNFQ), the fuzzy neural network achieves higher performance.

关键词： Fuzzy neural network hebb rule competitive learning local learning

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SVM-FastICA based detection ensemble system of EEG

SVM-FastICA based detection ensemble system of EEG

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Jindong, Zhang Guine, Qin Yue, Cui Jinnan, Dong Lishu, Guo Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University 130012 Changchun China State Key Laboratory of Automobile Dynamics Simulation Jilin University 130025 Changchun China Zhejiang Asia-Pacific Mechanical Andelectric Co. Ltd. 311023 Hangzhou China

ISBN: (纸本)0769530389

An EEG signal detection ensemble system to solve the low rate of vision detection is developed when analysis so many EEG signals. A novel FastICA method is presented, in which the independent component analysis approach is used to acquire the high order statistic information of EEG intrusion action mode and mapped the input mode space into the corresponding independent component space. Then the generalized maximal margin hyperplane is constructed in the independent component space using the support vector machine. Testing results show that the system integrates the features of FastICA and SVM to response real-time and lower the rate of false negative. © 2007 IEEE.

关键词： Support vector machines

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Gippy: Campus GIS information system supported by P2P

Gippy: Campus GIS information system supported by P2P

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2007 International Symposium on Applications and the Internet - Workshops, SAINT-W

作者： Fengyuan, Xu Zhiyi, Fang Xiao, Han Department of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory Symbolic Computation and Knowledge Engineering Education Ministry Jilin University Changchun 130012 China School of Economics and Information Systems Jilin University Changchun 130012 China

ISBN: (纸本)0769527574

Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Peer-to-Peer (P2P) technology assigns and utilizes network resources flexibly, making information exchange more dynamic and real-time with participants' autonomy to certain extent. Therefore, by the thought of uniting information processing merits of GIS and P2P, a design method of new information service system -Gippy - is introduced to keep pace with information exchange demands among dispersed governance regions, especially as universities. It is discussed in this paper that Gippy's key achieving technologies including its applications as well as architecture characteristics. We also points out new value-added functions adopted by Gippy, and give a research on feasibility of optimizing and extending. © 2007 IEEE.

关键词： Information systems

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Complex knowledge System Modeling Based on Hierarchical Fuzzy Petri Net

Complex Knowledge System Modeling Based on Hierarchical Fuzz...

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Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Hongjun Pan Jigui Sun College of Computer Science Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.

关键词： knowledge based systems Fuzzy systems Petri nets Intelligent agent educational technology Conferences Fuzzy logic Sun educational institutions Computer science

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The regulation of gene expression in E-cell

The regulation of gene expression in E-cell

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3rd International Conference on Natural computation, ICNC 2007

作者： Xinhua, Lu Jigui, Sun Ying, Ren Shuai, Lu College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China Public Teaching Center Heping Division Jilin University Changchun 130012 China

ISBN: (纸本)0769528759

Gene expression is the transformational procedure from genetic information of genome to proteome which affect the life activities of cells. The Regulation of gene expression determines the structure, quantity and functions of proteome. Existing electronic cell (E-Cell) models seldom relate to simulation on the regulations of gene expressions. In this paper, the E-Cell model we propose, named Analog-Cell, in order to reappear the life activities of cells and discover new biological rules, simulates the main regulation mechanisms in gene expression through defining regulation factors, enzymes and rational reaction rules, thus Analog-Cell obtains recommendable simulative results. © 2007 IEEE.

关键词： Gene expression

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Dynamic Policy Scheme for Resource Allocation in Mobile IP Handoff

Dynamic Policy Scheme for Resource Allocation in Mobile IP H...

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International Conference on Natural computation (ICNC)

作者： Xue-jie Liu Yan-heng Liu College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on the prediction information of the mobile node, the mechanism automatically produces dynamic policies to do admission control and to prepare resources before handoff occurs. And then it uses core policies existed as reference and applies product space conditional event algebra to trigger enforcement of dynamic policy. When the resources in access domain fell short of mobile nodes' requisition, it adopts "step back" arithmetic to update dynamic policies to further adjust resource possession according to the priority to assure the services credibility. By analysis, it is shown that this scheme can guarantee QoS of applications with higher priority and significantly improve the success rate of handoff. Also this management model is much more flexible than traditional methods.

关键词： Resource management Mobile computing Application software educational institutions Computer science educational technology Laboratories knowledge {1. Computer science education Admission control

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Dynamic Variable Ordering Based Concurrent Search for Distributed CSPs

Dynamic Variable Ordering Based Concurrent Search for Distri...

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IFIP International Conference on Network and Parallel Computing Workshops (NPC Workshops)

作者： Chunhui LIU Jigui SUN Jian GAO College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.

关键词： Parallel processing educational institutions Computer science educational technology Laboratories Computer networks Concurrent computing Distributed computing knowledge {1. Computer science education

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A CLAUSE LEARNING ALGORITHM COMBINING IMMUNE MECHANISM TO INVENT PREDICATE

A CLAUSE LEARNING ALGORITHM COMBINING IMMUNE MECHANISM TO IN...

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： PENG YU DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

Aiming at the larger search space of learning clause in Inductive Logic Programming, we put forward the definitions of the predicate template and the clause template to reduce search *** suggest IMPI algorithm, which is a genetic algorithm combining immune mechanism and uses the clause template as genetic code to learn the clause template of required *** uses immune mechanism to invent new predicates, which can extend the hypothesis language, find better *** we design when to invent *** obtaining the clause template, we use a general method based on generalization and information gain sampling to convert clause template to *** design the corresponding fitness function and genetic *** indicates that this algorithm can reduce the search space, improve the efficiency of search algorithm and can learn recursion clause by theoretical analysis and experiment *** is an effective clause learning algorithm.

关键词： Inductive logic programming Clause template Immune mechanism Recursion clause Information gain Genetic algorithm

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A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： YONG QUAN ZHEN-HUA ZHANG WEN-HUI LI WEI LIU Computer Graphics Laboratory College of Computer Science and Technology Jilin University Qianwei Road Changchun 130012 P.R.China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education

In this paper a new technique for ray tracing point-based models is *** approach offers a higher ray tracing speed in comparison with previous *** pre-process, we add an important attribute to each point for the purpose of ray *** rendering, an algorithm of intersecting a ray with point geometry is demonstrated to get satisfied *** approach makes it possible to render high quality ray traced images with global *** performs well especially in the way of boundary *** have tested our idea for shadows, reflection and refraction.

关键词： Points Neighbor radius Ray tracing Intersection algorithm Boundary representation

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Translating PDDL Tasks into Multi-valued Conformant Planning Tasks

Translating PDDL Tasks into Multi-valued Conformant Planning...

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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Jingjing Zhao Jigui Sun Minghao Yin College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Business Administration Changchun University of Technology China

In this paper, we formally define the problem of conformant planning with multi-valued state variables, namely multi-valued conformant planning task (MCPT), and present an algorithm for transforming conformant planning problems specified in Planning Domain Definition Language (PDDL) into MCPTs. The algorithm can deal with the uncertainties of initial conditions and disjunctive goals according to two important relaxed conditions.

关键词： Technology planning Uncertainty educational institutions educational technology State-space methods Computer science Laboratories knowledge {1. Computer science education Path planning

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