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17 Result(s)

within Computer Science Remove this filter Algorithm Analysis and Problem Complexity Remove this filter Artificial Intelligence Remove this filter Computation by Abstract Devices Remove this filter Computer Communication Networks Remove this filter Discrete Mathematics in Computer Science Remove this filter Minghui **ao Remove this filter Chapter Remove this filter

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  1. No Access

    Chapter and Conference Paper

    Shortest Color-Spanning Intervals

    Given a set of n points on a line, where each point has one of k colors, and given an integer s i  ≥ 1 for each color i, 1 ≤ i ≤ k, the problem Shortest Color-Sp...

    Minghui Jiang, Haitao Wang in Computing and Combinatorics (2014)

  2. No Access

    Chapter and Conference Paper

    H  ∞  Synchronization Control in Nonlinear Time-Delay Complex Dynamical Network

    On the basis of Lyapunov stability theory and LMI technique, this paper investigates H  ∞  synchronization control of time-varying synchronization state in general complex networks with time-delay...

    Ting **ang, Minghui Jiang in Advances in Neural Networks – ISNN 2011 (2011)

  3. No Access

    Chapter and Conference Paper

    Flip** Triangles and Rectangles

    We study the chromatic number of the flip graph of triangles determined by n points in convex position in the plane, and present new or improved bounds on several related parameters for this graph. We also find t...

    Minghui Jiang in Computing and Combinatorics (2011)

  4. No Access

    Chapter and Conference Paper

    Parameterized Complexity in Multiple-Interval Graphs: Partition, Separation, Irredundancy

    We present new results on the parameterized complexities of k - Vertex Clique Partition and k -Separating Vertices in multiple-interval graphs and their complements, and present a very...

    Minghui Jiang, Yong Zhang in Computing and Combinatorics (2011)

  5. No Access

    Chapter and Conference Paper

    A Modified Projection Neural Network for Linear Variational Inequalities and Quadratic Optimization Problems

    Variational inequalities provide us with a tool to study a wide class of optimization arising in pure and applied sciences. In the paper,we present a neural network for solving linear variational inequalities ...

    Minghui Jiang, Yongqing Zhao, Yi Shen in Advances in Neural Networks – ISNN 2009 (2009)

  6. No Access

    Chapter and Conference Paper

    Global and Local Synchronization of General Multi-linked Delayed Complex Dynamical Networks

    This paper investigates the phenomena of a new and general multi-linked complex network with delayed nodes and couplings. Via constructing Lyapunov-Krasovskii function and using inequality technique, the crite...

    Yongqing Zhao, Minghui Jiang in Advances in Neural Networks – ISNN 2009 (2009)

  7. No Access

    Chapter and Conference Paper

    Credit Risk Assessment Model of Commercial Banks Based on Fuzzy Neural Network

    A commercial bank credit risk assessment model based on fuzzy neural network has been established using the credit assessment index system established for commercial banks. This network is a 6 layered structur...

    ** Yao, Chong Wu, Minghui Yao in Advances in Neural Networks – ISNN 2009 (2009)

  8. No Access

    Chapter and Conference Paper

    Adaptive Neural-Based Fuzzy Inference System Approach Applied to Steering Control

    We applied adaptive neural-based fuzzy inference system (ANFIS) approach to the process control of ship automation manipulating systems. This paper studied the design of ANFIS controller for ship steering cont...

    Wang Minghui, Yu Yongquan, Lin Wei in Advances in Neural Networks – ISNN 2009 (2009)

  9. No Access

    Chapter and Conference Paper

    Improved Results on Solving Quadratic Programming Problems with Delayed Neural Network

    In this paper, in terms of a linear matrix inequality (LMI), using a delayed Lagrangian network to solve quadratic programming problems, sufficient conditions on delay-dependent and delay-independent are given...

    Minghui Jiang, Shengle Fang, Yi Shen… in Advances in Neural Networks – ISNN 2007 (2007)

  10. No Access

    Chapter and Conference Paper

    Existence and Stability of Periodic Solution of Non-autonomous Neural Networks with Delay

    The paper investigates the existence and global stability of periodic solution of non-autonomous neural networks with delay. Then the existence and uniqueness of periodic solutions of the neural networks are d...

    Minghui Jiang, **aohong Wang, Yi Shen in Advances in Neural Networks – ISNN 2007 (2007)

  11. No Access

    Chapter and Conference Paper

    Active Learning of Support Vector Machine for Fault Diagnosis of Bearings

    Based on traditional Active Support Vector Machine (ASVM), the learning method of Probabilistic Active SVM (ProASVM) is introduced to detect fault of bearings. Compared with the general SVM, the active learnin...

    Zhousuo Zhang, Wenzhi Lv, Minghui Shen in Advances in Neural Networks - ISNN 2006 (2006)

  12. No Access

    Chapter and Conference Paper

    An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay

    Based on the linear matrix inequality (LMI), new sufficient conditions on the global exponential stability and asymptotic stability of bidirectional associative memory neural networks with variable delay are p...

    Minghui Jiang, Yi Shen, **aoxin Liao in Advances in Neural Networks - ISNN 2006 (2006)

  13. No Access

    Chapter and Conference Paper

    Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay

    The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient cond...

    Minghui Jiang, Yi Shen, Meiqin Liu in Advances in Neural Networks – ISNN 2005 (2005)

  14. No Access

    Chapter and Conference Paper

    High-Order Hopfield Neural Networks

    In 1984 Hopfield showed that the time evolution of a symmetric Hopfield neural networks are a motion in state space that seeks out minima in the energy function (i.e., equilibrium point set of Hopfield neural ...

    Yi Shen, **aojun Zong, Minghui Jiang in Advances in Neural Networks – ISNN 2005 (2005)

  15. No Access

    Chapter and Conference Paper

    A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay

    A new theoretical result on the global exponential stability of recurrent neural networks with delay is presented. It should be noted that the activation functions of recurrent neural network do not require to...

    Yi Shen, Minghui Jiang, **aoxin Liao in Advances in Neural Networks – ISNN 2005 (2005)

  16. No Access

    Chapter and Conference Paper

    Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays

    In this paper, we investigate the global exponential stability for a class of Cohen-Grossberg neural networks (CGNN) with time-varying delays and continuously distributed delays. CGNN herein is a general neura...

    Yi Shen, Minghui Jiang, **aoxin Liao in Advances in Neural Networks – ISNN 2005 (2005)

  17. No Access

    Chapter and Conference Paper

    A Hybrid Neural Network and Genetic Algorithm Approach for Multicast QoS Routing

    Computing the Multicast QoS routing is an NP-complete problem. Generally, it was solved by heuristic algorithms, which include tabu search, simulated annealing, genetic algorithms (GA), neural networks (NN), e...

    Daru Pan, Minghui Du, Yukun Wang, Yanbo Yuan in Advances in Neural Networks - ISNN 2004 (2004)