Skip to main content

1,894 Result(s)

within Algorithm Analysis and Problem Complexity Remove this filter Artificial Intelligence Remove this filter Computer Communication Networks Remove this filter **mo Wang Remove this filter Chapter Remove this filter

previous disabled Page of 95
and

  1. No Access

    Chapter and Conference Paper

    Robust Friction Compensation for Servo System Based on LuGre Model with Uncertain Static Parameters

    A new adaptive robust friction compensation for servo system based on luGre model is proposed. Considered the uncertainty of steady state parameters in the friction model, a RBF neural network is adopted to le...

    Lixin Wei, **a Wang, Hongrui Wang in Advances in Neural Networks - ISNN 2004 (2004)

  2. No Access

    Chapter and Conference Paper

    A New Parallel Improvement Algorithm for Maximum Cut Problem

    The goal of maximum cut problem is to partition the vertex set of an undirected graph into two parts in order to maximize the cardinality of the set of edges cut by the partition. Enlightened by the elastic ne...

    Guangpu **a, Zheng Tang, Jiahai Wang… in Advances in Neural Networks – ISNN 2004 (2004)

  3. No Access

    Chapter and Conference Paper

    Fuzzy Neural Networks Observer for Robotic Manipulators Based on H  ∞  Approach

    This paper presents an observer for robotic systems using FNN method to estimate the joint velocities of a robot, and then H  ∞  approach is embedded to attenuate the effect of external di...

    Hong-bin Wang, Chun-di Jiang, Hong-rui Wang in Advances in Neural Networks - ISNN 2004 (2004)

  4. No Access

    Chapter and Conference Paper

    Multiple Models Neural Network Decoupling Controller for a Nonlinear System

    For a discrete-time nonlinear MIMO system, a multiple models neural network decoupling controller is designed in this paper. At each equilibrium point, the system is expanded into a linear and nonlinear term. ...

    **n Wang, Shaoyuan Li, Zhongjie Wang, Heng Yue in Advances in Neural Networks - ISNN 2004 (2004)

  5. No Access

    Chapter and Conference Paper

    Robust Constrained-LMS Algorithm

    The performances of the existing adaptive array algorithms are known to degrade substantially in the presence of even slight mismatches between the actual and presumed array responses to the desired signal. Si...

    **n Song, **kuan Wang, Han Wang in Advances in Neural Networks – ISNN 2004 (2004)

  6. No Access

    Chapter and Conference Paper

    A Multiple RBF NN Modeling Approach to BOF Endpoint Estimation in Steelmaking Process

    In order to estimate the bath endpoint phosphorus [P] content and manganese [Mn] content for Basic Oxygen Furnace (BOF) steelmaking process, three BOF endpoint estimation models are given according to the fast...

    **n Wang, Shaoyuan Li, Zhongjie Wang, Jun Tao… in Advances in Neural Networks - ISNN 2004 (2004)

  7. No Access

    Chapter and Conference Paper

    A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem

    Abstract. In this paper, a binary Hopfield neural network with positive selffeedbacks and its collective computational properties are studied. It is proved theoretically and confirmed by simulating the randoml...

    Yong Li, Zheng Tang, Ronglong Wang, Guangpu **a… in Advances in Neural Networks – ISNN 2004 (2004)

  8. No Access

    Chapter and Conference Paper

    Speaker Identification Using Reduced RBF Networks Array

    An efficient reduced RBF networks array for speaker recognition is proposed in this paper. The reduced method combines the advantages of IOC and ROLS algorithms. Not only the number but also the positions of d...

    Han Lian, Zheng Wang, Jianjun Wang, Liming Zhang in Advances in Neural Networks – ISNN 2004 (2004)

  9. No Access

    Chapter and Conference Paper

    Survival Density Particle Swarm Optimization for Neural Network Training

    The Particle Swarm Optimizer (PSO) has previously been used to train neural networks and generally met with success. The advantage of the PSO over many of the other optimization algorithms is its relative simp...

    Hongbo Liu, Bo Li, **ukun Wang, Ye Ji… in Advances in Neural Networks – ISNN 2004 (2004)

  10. No Access

    Chapter and Conference Paper

    Substructural Damage Detection Using Neural Networks and ICA

    Frequency response function (FRF) data are sensitive indicators of structural physical integrity and thus can be used to detect damage. This paper deals with structural damage detection by using back propagati...

    Fuzheng Qu, Dali Zou, **n Wang in Advances in Neural Networks – ISNN 2004 (2004)

  11. No Access

    Chapter and Conference Paper

    Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm

    During the pattern recognition using BP neural network, the generalization performance often becomes poor. To improve the generalization performance of BP Network, a novel BP network generalization learning al...

    Daizhi Liu, Renming Wang, **hai Li, Zhigang Liu in Advances in Neural Networks – ISNN 2004 (2004)

  12. No Access

    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)

  13. No Access

    Chapter and Conference Paper

    A Neural Network Based Method for Solving Discrete-Time Nonlinear Output Regulation Problem in Sampled-Data Systems

    Many of nonlinear control systems are sampled-data system, i.e. the continuous-time nonlinear plants are controlled by digital controllers. So it is important to investigate that if the solution of the discret...

    Dan Wang, Jie Huang in Advances in Neural Networks - ISNN 2004 (2004)

  14. No Access

    Chapter and Conference Paper

    Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels

    TD-SCDMA, a part of the third generation mobile communication standards IMT2000 and UMTS is described. A nonlinear multiuser detector based on Support Vector Machine (SVM) is presented and the performance is c...

    Yonggang Wang, Licheng Jiao, Dongfang Zhao in Advances in Neural Networks – ISNN 2004 (2004)

  15. No Access

    Chapter and Conference Paper

    Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks

    In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...

    Zhigang Zeng, De-Shuang Huang, Zengfu Wang in Advances in Neural Networks – ISNN 2004 (2004)

  16. No Access

    Chapter and Conference Paper

    A Noisy Chaotic Neural Network Approach to Topological Optimization of a Communication Network with Reliability Constraints

    Network topological optimization in communication network is to find the topological layout of network links with the minimal cost under the constraint that all-terminal reliability of network is not less than...

    Lipo Wang, Haixiang Shi in Advances in Neural Networks - ISNN 2004 (2004)

  17. No Access

    Chapter and Conference Paper

    Density Prediction of Selective Laser Sintering Parts Based on Artificial Neural Network

    Selective laser sintering (SLS), one of rapid prototy** technologies, employs laser beam to selectively fuse fully powder into a solid object layer by layer. However, density prediction of SLS parts using fi...

    **anfeng Shen, ** Yao, Yang Wang, Jialin Yang in Advances in Neural Networks - ISNN 2004 (2004)

  18. No Access

    Chapter and Conference Paper

    An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem

    An efficient algorithm for the minimum vertex cover problem based on Hopfield neural network leaning is presented. The learning algorithm has two phases, the Hopfield network phase and the learning phase. When...

    **aoming Chen, Zheng Tang, **nshun Xu… in Advances in Neural Networks – ISNN 2004 (2004)

  19. No Access

    Chapter and Conference Paper

    Optimizing Sensor Node Distribution with Genetic Algorithm in Wireless Sensor Network

    Wireless sensor networks have recently emerged as a premier research topic. They have great longterm economic potential, ability to transform our lives, and pose many new system-building challenges. One of the...

    Jianli Zhao, Yingyou Wen, Ruiqiang Shang… in Advances in Neural Networks - ISNN 2004 (2004)

  20. No Access

    Chapter and Conference Paper

    A Chaotic-Neural-Network-Based Encryption Algorithm for JPEG2000 Encoded Images

    In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different s...

    Shiguo Lian, Guanrong Chen, Albert Cheung… in Advances in Neural Networks - ISNN 2004 (2004)

previous disabled Page of 95