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    Chapter and Conference Paper

    Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms

    The global exponential stability is discussed for a general class of recurrent neural networks with infinite time-varying delays and reaction-diffusion terms. Several new sufficient conditions are obtained to ...

    Qiankun Song, Zhenjiang Zhao, Xuedong Chen in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Global Dissipativity of Neural Networks with Time-Varying Delay and Leakage Delay

    In this paper, the problem on global dissipativity is investigated for neural networks with time-varying delays and leakage delay as well as generalized activation functions. By constructing appropriate Lyapun...

    Zhenjiang Zhao, Qiankun Song in Advances in Neural Networks – ISNN 2012 (2012)

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    Chapter and Conference Paper

    Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays

    In this paper, the passivity for stochastic Takagi-Sugeno (T-S) fuzzy systems with time-varying delays is investigated without assuming the differentiability of the time-varying delays. By utilizing the Lyapun...

    Zhenjiang Zhao, Qiankun Song in Advances in Neural Networks – ISNN 2013 (2013)

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    Article

    Cluster, local and complete synchronization in coupled neural networks with mixed delays and nonlinear coupling

    In this paper, synchronization analysis is investigated for an array of hybrid coupled neural networks with discrete time-varying delays, distributed time-varying delays and nonlinear coupling. By utilizing a ...

    Qiankun Song, Zhenjiang Zhao in Neural Computing and Applications (2014)

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    Chapter and Conference Paper

    Stability of Complex-Valued Cohen-Grossberg Neural Networks with Time-Varying Delays

    In this paper, the complex-valued Cohen-Grossberg neural networks model with time-varying delays is considered. By employing the idea of vector Lyapunov function, M-matrix theory and inequality technique, a ne...

    Zhenjiang Zhao, Qiankun Song in Advances in Neural Networks – ISNN 2016 (2016)

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    Chapter and Conference Paper

    Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components

    In this paper, a class of complex-valued neural networks including two additive time-varying delay components has been discussed. By making use of the combinational Lyapunov-Krasovskii functional and free weig...

    Zhenjiang Zhao, Qiankun Song, Yuchen Zhao in Advances in Neural Networks - ISNN 2017 (2017)

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    Chapter and Conference Paper

    Numerical Simulation of Flow Field and Separation Performance of a Two-Cone Hydrocyclone for Oil-Water Separation

    In order to study the internal flow field and oil-water separation mechanism of double cone hydrocyclone, based on fluid dynamics software Fluent, the effects of oil phase volume distribution, tangential veloc...

    Chao **e, Zhen Wu, Zhenjiang Zhao, Yaoyao Wei in Advanced Manufacturing and Automation X (2021)

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    Chapter and Conference Paper

    Numerical Simulation of Separation Mechanism in V-Shaped Outlet Hydrocyclone for Coalbed Gas Fracturing Flow-Back Fluids

    In order to reduce the fine particles in the underflow when the hydrocyclone is used to treat coalbed gas fracturing Flow-back fluids, a V-shaped outlet hydrocyclone was designed. Internal flow field of two hy...

    **aolong **ao, Mingxiu Yao, Chao **e, Zhen Wu in Advanced Manufacturing and Automation X (2021)

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    Chapter and Conference Paper

    Parameter Optimization of Hydrocyclone at the Inlet of Spiral Tube for Offshore Oil Water Separation

    Existing design equations can hardly provide reliable guidance in hydrocyclone designs and give explanations for the selected optimum range of spiral tube inlet. In this paper, the spiral tube inlet hydrocyclo...

    Zhen Wu, Yaoyao Wei, Chao **e, Zhenjiang Zhao in Advanced Manufacturing and Automation X (2021)

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    Chapter and Conference Paper

    Applying Combinatorial Testing to Verification-Based Fairness Testing

    Fairness testing, given a machine learning classifier, detects discriminatory data contained in it via executing test cases. In this paper, we propose a new approach to fairness testing named Vbt-Ct, which applie...

    Takashi Kitamura, Zhenjiang Zhao, Takahisa Toda in Search-Based Software Engineering (2022)

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    Chapter and Conference Paper

    Efficient Fairness Testing Through Hash-Based Sampling

    There is a growing concern on algorithm fairness, according to wider adoption of machine learning techniques in our daily life. Testing of individual fairness is an approach to algorithm fairness concern. Veri...

    Zhenjiang Zhao, Takahisa Toda, Takashi Kitamura in Search-Based Software Engineering (2022)