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Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Date 6-7 June 2009

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  • [Front cover - Vol 2]

    Publication Year: 2009, Page(s): C1
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  • [Title page i - Volume 2]

    Publication Year: 2009, Page(s): i
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  • [Title page iii - Volume 2]

    Publication Year: 2009, Page(s): iii
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  • [Copyright notice - Volume 2]

    Publication Year: 2009, Page(s): iv
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  • Table of contents - Volume 2

    Publication Year: 2009, Page(s):v - xiv
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  • Conference Information - Volume 2

    Publication Year: 2009, Page(s):xv - xviii
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  • Global Exponential Stability Analysis for Uncertain Neural Networks with Discrete and Distributed Time-Varying Delays

    Publication Year: 2009, Page(s):3 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (249 KB) | HTML iconHTML

    In this paper, the global exponential stability is investigated for a class of neural networks with both discrete and distributed delays and norm-bounded uncertainties. The discrete delay considered in this paper is interval-like time-varying delay. By using Lyapunov stable theory and linear matrix inequality, the derived criteria are not only dependent on distributed delay but also on the lower b... View full abstract»

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  • Neural Network Algorithm for Solving System of Linear Equations

    Publication Year: 2009, Page(s):7 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (230 KB) | HTML iconHTML

    In this paper, the artificial neural network (ANN) algorithm for solving system of linear equations is considered and the algorithm convergence theorem is derived. Some numerical tests are given to demonstrate the effectiveness of our results. View full abstract»

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  • Fingerprint Segmentation Using Cellular Neural Network

    Publication Year: 2009, Page(s):11 - 14
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (425 KB) | HTML iconHTML

    Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on cellular neural network (CNN) is presented. The proposed algorithm is realized by threshold CNN (T-CNN), of which threshold is obtained via fuzzy set theory. Experimental results show that ... View full abstract»

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  • Research on Courses Relationship Model Based on Bayesian Networks

    Publication Year: 2009, Page(s):15 - 18
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (261 KB) | HTML iconHTML

    University courses are not isolated settings. There is a certain link among them. This paper presents a construction method for Bayesian networks of university courses relationship, which use the examination results of students' courses as data sample. The undirected graph was constructed with structure learning algorithm based on information theory, and its edges were oriented according to the ti... View full abstract»

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  • Rules Extraction from ANN Based on Clustering

    Publication Year: 2009, Page(s):19 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (124 KB) | HTML iconHTML

    We propose a novel algorithm based on clustering to extract rules from artificial neural networks. After networks Beijing trained and pruned successfully, inner-rules are generated by discrete activation values of hidden units. Then, weights between input and hidden units are clustered to decrease the complexity of rules extraction. In clustering phase, the clustered number of weights can be adjus... View full abstract»

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  • Getting Mobile Beacon Node Path in WSN Based on Ant Colony Algorithm

    Publication Year: 2009, Page(s):22 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (277 KB) | HTML iconHTML

    Because of restricted resources, wireless sensor networks need to consider synthetically the price of networks, and costs of communication and computing and so on. Aiming at the localization problem for mobile beacon node in wireless sensor network, this paper uses the ant colony algorithmpsilas characteristics which is self-organized, adaptive, dynamic optimization, integrating the hop number int... View full abstract»

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  • A Solution for TSP Based on Artificial Fish Algorithm

    Publication Year: 2009, Page(s):26 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB) | HTML iconHTML

    TSP is well-known issue in the field of mathematics. With the increasing calculation nodes, the convergence degree and computing difficulty of TSP will increase enormously. Artificial fish is an optimize algorithm based on biology model putting forward at present. We describe the relative knowledge of artificial fish algorithm, put forward artificial fish algorithm model for TSP, then make the qua... View full abstract»

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  • A Possibility-Probability Based Model for Distribution System Reliability

    Publication Year: 2009, Page(s):30 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB) | HTML iconHTML

    A conceptual possibility-probability based framework is proposed to manage the uncertainties encountered in distribution system reliability. Probability distribution of reliability parameters, the failure rate, the load point outage duration and the power injection of feeder branch are transformed consistently into the corresponding possibilistic distribution function. Under the proposed framework... View full abstract»

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  • An Efficient Binding Algorithm for Forward-chaining HTN Planning Based on Object-oriented Knowledge

    Publication Year: 2009, Page(s):35 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (254 KB) | HTML iconHTML

    An efficient improvement on the binding process of SHOP2 planner for hierarchical task network (HTN) planning is proposed by using some object-oriented formal knowledge. Two object-oriented structures, Structure of Object and Structure of Object Set are defined to separate SHOP2psilas world state to two parts, object-oriented knowledge and predicate-based atoms. By preprocessing, improved binding ... View full abstract»

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  • Shape and Structure Features Based Chinese Wine Classification

    Publication Year: 2009, Page(s):39 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB) | HTML iconHTML

    Chinese wines can be classification or graded by the micrographs. Micrographs of Chinese wines show floccule,stick and granule of variant shape and size. Different wines have variant microstructure and micrographs, we study the classification of Chinese wines based on the micrographs. Shape and structure of winespsila particles in microstructure is the most important feature for recognition and cl... View full abstract»

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  • Feature Selection Based on SVM for Credit Scoring

    Publication Year: 2009, Page(s):44 - 47
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    As the credit industry has been growing rapidly, huge number of consumerspsila credit data are collected by the credit department of the bank and credit scoring has become a very important issue. Usually, a large amount of redundant information and features are involved in the credit dataset, which leads to lower accuracy and higher complexity of the credit scoring model, so, effective feature sel... View full abstract»

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  • Judgemental Minimal and Maximal Rules Learning and Its Application

    Publication Year: 2009, Page(s):48 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB) | HTML iconHTML

    This paper conducts attribute reduction for training set using rough set theory, and then obtains the decision tree rules by use of decision tree algorithm. Afterwards, two criteria on rules screening are proposed in accordance with the concept of the rule information quantity and rule credibility, and the two criteria are applied to minimal and maximal rules learning method, which forms the judge... View full abstract»

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  • Approaches to Decision Inference Rules Based on Concept Lattices

    Publication Year: 2009, Page(s):52 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    Four kinds of basic decision rule sets are respectively produced from the formal concept lattice, the dual formal concept lattice, the object-oriented concept lattice and the attribute-oriented concept lattice in a formal context. Based on these sets, two types of decision inferences are established via an inclusion degree. The corresponding decisions by inferences are proved to be the lower and t... View full abstract»

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  • An Improved PSO-Based Rule Extraction Algorithm for Intrusion Detection

    Publication Year: 2009, Page(s):56 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB) | HTML iconHTML

    The particle swarm optimization (PSO) algorithm is already proved efficient in the rule extraction in intrusion detection. But in practice the most intrusion detection systems often have a high false alarm rate. To solve it, this paper gives a new PSO-based algorithm which has a special fitness function to extract better rules set with lower false alarm rate to detect the attacks. Experiments base... View full abstract»

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  • Severity Analyses of Single-Vehicle Crashes Based on Rough Set Theory

    Publication Year: 2009, Page(s):59 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (269 KB) | HTML iconHTML

    A single-vehicle crash is a typical pattern of traffic accidents and tends to cause heavy loss. The purpose of this study is to identify the factors significantly influencing single-vehicle crash injury severity, using a data selected from Beijing city for a 4-year period. Rough set theory was applied to complete the injury severity analysis, and followed by applying cross-validation method to est... View full abstract»

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  • Variable Precision Neighborhood Rough Set Based Feature Selection for Credit Scoring

    Publication Year: 2009, Page(s):63 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (362 KB) | HTML iconHTML

    As the credit industry has been growing rapidly, huge number of consumerspsila credit data are collected by the credit department of the bank and credit scoring has become a very important issue. Usually, a large amount of redundant information and features are involved in the credit dataset, which leads to lower accuracy and higher complexity of the credit scoring model, so, effective feature sel... View full abstract»

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  • Multi-target Tracking Algorithm Based on Rough and Precision Association Mixing FCM in WSN

    Publication Year: 2009, Page(s):67 - 71
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB) | HTML iconHTML

    Aiming at the target missing and the target confusion in the multi-target tracking when the targets approach or cross each other in wireless sensor networks, a rough and precision association mixing FCM algorithm is proposed. The key idea is to implement the multi-target precise tracking by decomposing multi-sensor data association problem to single sensor problem and simplifying the multitarget t... View full abstract»

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  • A Collaborative Filtering Recommendation Algorithm Based on Item Genre and Rating Similarity

    Publication Year: 2009, Page(s):72 - 75
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (278 KB) | HTML iconHTML

    Aiming at the disadvantages of user-based collaborative filtering algorithm and item-based collaborative filtering algorithm on the instance of userpsilas rating datapsilas extreme sparseness, introducing the similarity of item genre and rating and improving on it. The high ratings of users group can also affect similarity when calculating the similarities of item genre and ratings. Through the ex... View full abstract»

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  • Coorporative Parking Negotiation and Guidance Based on Intelligent Agents

    Publication Year: 2009, Page(s):76 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (247 KB) | HTML iconHTML

    In order to provide the drivers a better parking guidance service, a multi-agent approach for parking negotiation and guidance is proposed in this paper. Based on distributed control theory, a city is divided into a number of districts each of which is equipped with a parking information service center (PISC). A distributed multi-phase method based on a two-layer traffic map is employed for parkin... View full abstract»

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