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  1. No Access

    Chapter and Conference Paper

    Digital City Shanghai: Towards Integrated Information & Service Environment

    This paper aims to describe Digital City Shanghai (DCSH), which was designed to be an integrated information & service environment for everyday life. Section 1 provides a background of Shanghai. Section 2 discuss...

    Ding Peng, Mao Wei Liang, Rao Ruo Nan, Sheng Huan Ye, Ma Fan Yuan… in Digital Cities (2000)

  2. No Access

    Chapter and Conference Paper

    Correcting Word Segmentation and Part-of-Speech Tagging Errors for Chinese Named Entity Recognition

    In the exploration of Chinese named entity recognition for a specific domain, the authors found that the errors caused during word segmentation and part-of-speech (POS) tagging have obstructed the improvement ...

    Tianfang Yao, Wei Ding… in The Internet Challenge: Technology and Applications (2002)

  3. No Access

    Chapter and Conference Paper

    On Programming Information Agent Systems – An Integrated Hotel Reservation Service as Case Study

    This paper presents our integrated hotel reservation service. Using it as a case study, we discuss the design and implementation of agent-based information systems. Taking a system as a whole, we consider not ...

    Yun Ding, Heiner Litz, Rainer Malaka, Dennis Pfisterer in Multiagent System Technologies (2003)

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    Chapter and Conference Paper

    Recursive Approach for Real-Time Blind Source Separation of Acoustic Signals

    In this paper we propose and investigate a recursive approach for blind source separations (BSS) or/and for independent component analyses (ICA). Based on this approach we present a deterministic (without a st...

    Shuxue Ding, Jie Huang in Knowledge-Based Intelligent Information and Engineering Systems (2003)

  5. No Access

    Chapter and Conference Paper

    Tracking the Amplitude Variation of Evoked Potential by ICA and WT

    Evoked potential (EP) is non-stationary during the recording of electroencephalograph (EEG). This paper promotes a method to track the variation of EP’s amplitude by the application of independent component an...

    Haiyan Ding, Datian Ye in Advances in Neural Networks - ISNN 2004 (2004)

  6. No Access

    Chapter and Conference Paper

    Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines

    Air preheater is the important heat exchanger in power plant units. Recombustion accident can be caused by inadequacy combustion of fuel or badly heat-dispersed condition aroused by low air or gas velocity aft...

    Liu Han, Liu Ding, ** Yu, Qi Li, Yanming Liang in Advances in Neural Networks – ISNN 2004 (2004)

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    Chapter and Conference Paper

    Effectiveness of Neural Networks for Prediction of Corporate Financial Distress in China

    The study examines the effectiveness of two types of neural networks in predicting corporate financial distress in China. Back-propagation and LVQ neural networks are considered. The neural networks are compar...

    Ji-Gang **e, **g Wang, Zheng-Ding Qiu in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    Non-stationary Fault Diagnosis Based on Local-Wave Neural Network

    In view of non-stationary and non-linearity of vibration signal from machine surface, a new method, which is called Local-Wave Method (LWM), is presented to decompose it into number of Intrinsic Mode Weighs (I...

    Zhen Wang, Ji Li, Zijia Ding, Yanhui Song in Advances in Neural Networks - ISNN 2004 (2004)

  9. No Access

    Chapter and Conference Paper

    Categorical Data Visualization and Clustering Using Subjective Factors

    A common issue in cluster analysis is that there is no single correct answer to the number of clusters, since cluster analysis involves human subjective judgement. Interactive visualization is one of the metho...

    Chia-Hui Chang, Zhi-Kai Ding in Data Warehousing and Knowledge Discovery (2004)

  10. No Access

    Chapter and Conference Paper

    Binocular 3D Reconstruction Based on Neural Network

    This paper introduces the computer vision to 3D reconstruction of the object. A novel method is developed, which adopts the digital camera as the sensor and uses the techniques of image processing and vision c...

    Mingxing Lin, Yongrui Zhao, Zhiguang Guan… in Advances in Neural Networks – ISNN 2005 (2005)

  11. No Access

    Chapter and Conference Paper

    Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions

    In reality, the inputs and outputs of many complicated systems are time-varied functions. However, conventional artificial neural networks are not suitable to solving such problems. In order to overcome this l...

    Shisheng Zhong, Gang Ding, Daizhong Su in Advances in Neural Networks – ISNN 2005 (2005)

  12. No Access

    Chapter and Conference Paper

    Layout of Virtual Flexible Manufacturing System and Machining Simulation

    Virtual Manufacturing (VM) is higher computer application in product design and manufacturing and management. Verification of process production planning and control is a basic part in estimation of manufactur...

    Guofu Ding, Kaiyin Yan, Yong He, Dan Li in Systems Modeling and Simulation: Theory an… (2005)

  13. No Access

    Chapter and Conference Paper

    A Semi-automatic Approach to Extracting Common Sense Knowledge from Knowledge Sources

    Common sense knowledge based systems are developed by researchers to enable machines to understand ordinary knowledge and reason intelligently as a human would. The knowledge repositories of such systems are u...

    Veda C. Storey, Vijayan Sugumaran, Yi Ding in Natural Language Processing and Informatio… (2005)

  14. No Access

    Chapter and Conference Paper

    A Novel Intelligent Controller Based on Modulation of Neuroendocrine System

    Based on the modulation of neuroendocrine system and the hypothalamo-pituitary-adrenal axis model, we present a novel intelligent controller (NEIC). The NEIC, with a typical two-level structure, is composed of...

    Bao Liu, Lihong Ren, Yongsheng Ding in Advances in Neural Networks – ISNN 2005 (2005)

  15. No Access

    Chapter and Conference Paper

    Comparative Study on Engine Torque Modelling Using Different Neural Networks

    In this paper, modelling the torque of a variable valve timing (VVT) spark ignition (SI) engine is studied using multilayer Perceptron (MLP), radial basis function (RBF) and local linear model tree (LOLIMOT) n...

    Ding-Li Yu, Michael Beham in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model

    Fault tolerant control (FTC) using an adaptive recurrent neural network model is developed in this paper. The model adaptation is achieved with the extended Kalman filter (EKF). A novel recursive algorithm is ...

    Ding-Li Yu, Thoonkhin Chang, ** Wang in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model

    An adaptive neural network model based approach to sensor fault detection is proposed for multivariable chemical processes. The neural model is used to predict process output for multi-step ahead with the pred...

    Ding-Li Yu, Dingwen Yu in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Global Stability Affected by Migration Behavior of Web Entities in the Bio-network Architecture

    We envision that an application or service of the evolving web is emerged from a collection of distributed and autonomous web entities. These entities follows a single set of behavior rules (e.g. migration, re...

    Lei Gao, Yongsheng Ding in Advances in Web Intelligence (2005)

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    Chapter and Conference Paper

    Effectiveness of Document Representation for Classification

    Conventionally, document classification researches focus on improving the learning capabilities of classifiers. Nevertheless, according to our observation, the effectiveness of classification is limited by the...

    Ding-Yi Chen, Xue Li, Zhao Yang Dong, **a Chen in Data Warehousing and Knowledge Discovery (2005)

  20. No Access

    Chapter and Conference Paper

    Fault Diagnosis with Enhanced Neural Network Modelling

    A neural network (NN) based fault detection and isolation (FDI) approach for unknown non-linear system is proposed to detect both actuator and sensor faults. An enhanced parallel (independent) NN model is trai...

    Ding-Li Yu, Thoon-Khin Chang in Advances in Neural Networks - ISNN 2006 (2006)

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