Skip to main content

previous disabled Page of 6
and
  1. No Access

    Chapter and Conference Paper

    Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees

    Approximate range aggregate queries are one of the most frequent and useful kinds of queries for Decision Support Systems (DSS). Traditionally, sampling- based techniques have been proposed to tackle this prob...

    Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo in Data Warehousing and Knowledge Discovery (2004)

  2. No Access

    Chapter and Conference Paper

    Modeling Dynamic System by Recurrent Neural Network with State Variables

    A study is performed to investigate the state evolution of a kind of recurrent neural network. The state variable in the neural system summarize the information of external excitation and initial state, and de...

    Min Han, Zhiwei Shi, Wei Wang in Advances in Neural Networks - ISNN 2004 (2004)

  3. No Access

    Chapter and Conference Paper

    A Novel Individual Blood Glucose Control Model Based on Mixture of Experts Neural Networks

    An individual blood glucose control model (IBGCM) based on the Mixture of Experts (MOE) neural networks algorithm was designed to improve the diabetic care. MOE was first time used to integrate multiple indivi...

    Wei Wang, Zheng-Zhong Bian, Lan-Feng Yan in Advances in Neural Networks - ISNN 2004 (2004)

  4. No Access

    Chapter and Conference Paper

    A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security

    Intrusion detection is an important technique in the defense-in-depth network security framework and a hot topic in computer security in recent years. In this paper, a new intrusion detection method based on P...

    Wei Wang, **aohong Guan, **angliang Zhang in Advances in Neural Networks - ISNN 2004 (2004)

  5. No Access

    Chapter and Conference Paper

    Multisensors Information Fusion with Neural Networks for Noninvasive Blood Glucose Detection

    A multisensors information fusion model (MIFM) based on the Mixture of Experts (ME) neural networks was designed to fuse the multi-sensors signals for infrared noninvasive blood glucose detection. ME algorithm...

    Wei Wang, Lanfeng Yan, Baowei Liu, Heng Zhang in Advances in Neural Networks – ISNN 2005 (2005)

  6. No Access

    Chapter and Conference Paper

    FMC: An Approach for Privacy Preserving OLAP

    To preserve private information while providing thorough analysis is one of the significant issues in OLAP systems. One of the challenges in it is to prevent inferring the sensitive value through the more aggr...

    Ming Hua, Shouzhi Zhang, Wei Wang, Haofeng Zhou in Data Warehousing and Knowledge Discovery (2005)

  7. No Access

    Chapter and Conference Paper

    Practical Indexing XML Document for Twig Query

    Answering structural queries of XML with index is an important approach of efficient XML query processing. Among existing structural indexes for XML data, F&B index is the smallest index that can answer all br...

    Hongzhi Wang, Wei Wang, Jianzhong Li in Advances in Computer Science – ASIAN 2005.… (2005)

  8. No Access

    Chapter and Conference Paper

    Adaptive Neural Network Control for Nonlinear Systems Based on Approximation Errors

    A stable adaptive neural network control approach is proposed in this paper for uncertain nonlinear strict-feedback systems based on backstep**. The key assumptions are that the neural network approximation ...

    Yan-Jun Liu, Wei Wang in Advances in Neural Networks - ISNN 2006 (2006)

  9. No Access

    Chapter and Conference Paper

    Nonlinear System Adaptive Control by Using Multiple Neural Network Models

    Multiple radial based function (RBF)neural network models are used to cover the uncertainty of time variant nonlinear system, and multiple element controllers are set up based on the multiple RBF models. At ev...

    **ao-Li Li, Yun-Feng Kang, Wei Wang in Advances in Neural Networks - ISNN 2006 (2006)

  10. No Access

    Chapter and Conference Paper

    Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble

    Earthquakes will do great harms to the people, to estimate the future earthquake situation in Chinese mainland is still an open issue. There have been previous attempts to solve this problem by using artificia...

    Tian-Yu Liu, Guo-Zheng Li, Yue Liu, Geng-Feng Wu in Advances in Neural Networks - ISNN 2006 (2006)

  11. No Access

    Chapter and Conference Paper

    A Reputation Multi-agent System in Semantic Web

    Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to whic...

    Wei Wang, Guosun Zeng, Lulai Yuan in Agent Computing and Multi-Agent Systems (2006)

  12. No Access

    Chapter and Conference Paper

    Traffic Volume Forecasting Based on Wavelet Transform and Neural Networks

    This paper focuses on traffic volume forecasting that is an essential component of any responsive traffic control or route guidance system. A new approach for traffic volume prediction is proposed based on wav...

    Shuyan Chen, Wei Wang in Advances in Neural Networks - ISNN 2006 (2006)

  13. No Access

    Chapter and Conference Paper

    Appearance-Based Map Learning for Mobile Robot by Using Generalized Regression Neural Network

    Regression analysis between features of high-dimension is receiving attention in environmental learning of mobile robot. In this paper, we propose a novel framework, namely General regression neural network (G...

    Ke Wang, Wei Wang, Yan Zhuang in Advances in Neural Networks – ISNN 2007 (2007)

  14. No Access

    Chapter and Conference Paper

    Soft-Sensor Method Based on Least Square Support Vector Machines Within Bayesian Evidence Framework

    Based on the character and requirement of the dynamic weighing of loader, the soft sensor technique was adapted as the weighing method, and the least square support vector machine (LS-SVM) as its modelling met...

    Wei Wang, Tianmiao Wang, Hongxing Wei in Advances in Neural Networks – ISNN 2007 (2007)

  15. No Access

    Chapter and Conference Paper

    EviRank: An Evidence Based Content Trust Model for Web Spam Detection

    Creating an effective spam detection method is a challenging task. Traditional works usually regard this kind of work as a problem of binary classification. In this paper, however, we argue that it is more pro...

    Wei Wang, Guosun Zeng, Mingjun Sun in Advances in Web and Network Technologies, … (2007)

  16. No Access

    Chapter and Conference Paper

    Bayesian Method Based Trusted Overlay for Information Retrieval over Networks

    Peer-to-peer (P2P) overlay networks provide a new way to retrieve information over networks. How to assurance the reliability of the resource is the crucial issue of security. This paper proposes a trustworthy...

    Shunying Lü, Wei Wang, Yan Zhang in Advances in Web and Network Technologies, … (2007)

  17. No Access

    Chapter and Conference Paper

    A Novel Factoid Ranking Model for Information Retrieval

    How can we distinguish accurate information from inaccurate or untrustworthy information is a big challenge in the field of information retrieval. This paper discusses trust as a factoid learning problem, whic...

    Youcong Ni in Advances in Web and Network Technologies, and Information Management (2007)

  18. No Access

    Chapter and Conference Paper

    Analog Circuit Fault Fusion Diagnosis Method Based on Support Vector Machine

    Lack of fault samples and statistic characteristic of artificial neural network, which restrict its more development and application in fault diagnosis. Support Vector Machine (SVM) is a machine – learning alg...

    Zhihong Feng, Zhigui Lin, Wei Fang, Wei Wang in Advances in Neural Networks – ISNN 2009 (2009)

  19. No Access

    Chapter and Conference Paper

    An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization

    This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ and ‘nonself’ concentrations are ...

    Wei Wang, Pengtao Zhang, Ying Tan in Advances in Swarm Intelligence (2010)

  20. No Access

    Chapter and Conference Paper

    GDM2010 Workshop Organizers’ Message

    The graph is a powerful tool for representing and understanding objects and their relationships in various application domains. Recently, graphs have been widely used to model many complex structured and schem...

    Sherif Sakr, Wei Wang in Database Systems for Advanced Applications (2010)

previous disabled Page of 6