Stability analysis of BAM neural networks with time-varying delays

Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays.     

Stability analysis of BAM neural networks with time-varying delays

Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays.     

多媒体优化组合教学应用研究

随着社会发展，科学技术日趋尖端，许多高新产品日益普及，因而多媒体在教学活动中应用不同成为必然，而且会发挥更大的优势。本文以从多媒体优化组合这一角度出发，对它在教学活动中的应用及优势，意义提出自己的看法，结今后的教学活动提供一点理论基础。     

500W风力机叶片建模与仿真技研究

基于微气象环境,运用风力机设计的基本理论与方法,确定了风力机叶片尖速比、叶片数、风轮直径、弦长、安装角等关键参数,结合三维空间的图形变换技术,确立了叶片空间坐标,借助SolidWorks软件建立了叶片的3D模型;运用有限元软件workbenck完成叶片在额定转速时受力分析及动态特性仿真;为小型风力机的设计、研发及工程应用奠定了理论基础.     

烧结机星轮包装设计

该文通过对烧结机星轮部产品特点的深入分析,设计出适合该产品运输的包装装置,此装置可以解决该产品的包装并完全满足运输过程中有关稳定性的要求,从而很好保证了产品吊装及运输过程中的安全,使产品免受任何损坏,同时此包装装置还适合于多种运输工具.     

XGBoost启发的双向特征选择算法

针对特征选择过程中特征评价指标单一性的问题,基于集成学习中的极端梯度提升算法,提出一种新的特征选择算法.该算法首先应用极端梯度提升算法中构建集成树模型的指标作为特征选择的特征重要性度量指标,然后利用一种新的双向搜索策略,权衡了多种特征重要性对结果的影响,并优化了评价过程的效率.通过11个不同维度的标准数据集进行测试,实...     

Combinatorial Method of Simulation and Optimization and Its Application on Transportation System

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Adaptive synchronization of neural networks with different attractors

This paper aims to present an adaptive control scheme for the synchronization of two classes of uncertain neural networks with different attractors. A new sufficient condition for the global synchronization of two kinds of neural networks with different attractors is derived. The proposed control method is efficient and easy to be implemented. Numerical simulation is used to show the effectiveness of the obtained result.     

Global asymptotic stability of cellular neural networks with multiple delays

Global asymptotic stability (GAS) is discussed for cellular neural networks (CNN) with multiple time delays. Several criteria are proposed to ascertain the uniqueness and global asymptotic stability of the equilibrium point for the CNN with delays. These criteria can eliminate the difference between the neuronal excitatory and inhibitory effects. Two examples are presented to demonstrate the effectiveness of the criteria.