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具分布时滞和脉冲的BAM神经网络的全局指数稳定性
BAM神经网络 连续分布时滞 全局指数稳定性
2022/3/30
讨论一类具有连续分布时滞和脉冲影响的双向联想记忆（bidirectionalassociativememory,BAM)神经网络，通过M－矩阵、谱理论以及建立脉冲时滞微分不等式，得到系统平衡点的存在唯一性及全局指数稳定性的充分判别条件。最后，给出一个实例，说明结论的可行性和有效性。
ESTIMATION OF SOURCE PARAMETERS OF 2003 BAM (IRAN) EARTHQUAKE FROM ENVISAT SAR IMAGES USING GENETIC ALGORITHM TECHNIQUE
Satellite Remote Sensing Earthquakes Spatial Modeling Disaster SAR Image Radar Interferometric SAR (InSAR)
2015/12/29
In this paper, we analyze synthetic aperture radar (SAR) interferograms derived from Envisat radar data. Use of interferograms from both ascending and descending satellite passes enables usto indicate...
A SDSS-BASED EARTHQUAKE DAMAGE ASSESSMENT FOR EMERGENCY RESPONSE:CASE STUDY IN BAM
SDSS Earthquake Image Classification Rescue Management
2015/12/28
Lack of reliable, up to date, available and qualified geospatial data is one of the problems we are faced to have a proper response to natural disasters. On the other hand, complexity of earthquake ph...
COMBINATION OF BIOCHEMICAL AND HYPERSPECTRAL REMOTE SENSING METHODS FOR DETECTION OF HEAVY METAL POLLUTIONS IN EUCALYPTUS LEAVES (CASE STUDY: THE CITY OF BAM)
Biochemical analysis hyperspectral remote sensing As Pb Eucalyptus Bam city
2016/1/15
Environmental pollution may be caused due to mines and mineral deposits. The accumulation of the associated heavy metals in soil and especially at the root zone of plants would result in plant contami...
National Disasters in Iran and Blood Donation: Bam Earthquake Experience
Earthquake Blood safety Blood donation Bam Iran
2015/9/21
Background: Understanding the characteristics of blood donors donating in disasters may help predicting the blood safety and adequacy. We investigated the blood supply and safety during Bam earthquake...
The Fusion of Laser Scanning and Close Range Photogrammetry In Bam Laser-photogrammetric Mapping of Bam Citadel (arg-e-bam)/iran
Archaeology Combination Cultural Heritage
2015/7/15
After the devastating earth quake (26.12.2003, 6.3 Richter Scale) in Bam city/ Iran, RIEGL LMS GmbH /Austria and their Iranian
agent, NPR Co. performed the 3D-mapping of the greatest mud-brick and ad...
基于BAM神经网络的某型车载导弹故障诊断
导弹装备 BAM神经网络 故障诊断
2012/6/8
针对某型车载导弹武器系统的故障特性及其维修的特点， 利用离散的 Ｂ Ａ Ｍ网络， 给出某型车载导弹常见典型故障的特征及其数字化描述方法， 建立了故障现象和故障原因之间对应的标识空间表， 并通过其建立联想记忆矩阵， 得出诊断结果。结果表明， Ｂ Ａ Ｍ网络应用于故障诊断是可行的。
利用指数二分法和不动点定理,得到了含有限分布时滞的模糊BAM细胞神经网络概周期解存在性的充分条件,通过构造李雅普诺夫函数和Yang不等式,得到了概周期解的全局指数稳定性.
ANTHROPONOTIC CUTANEOUS LEISHMANIASIS IN THE CITY OF BAM,SOUTHEAST IRAN
Cutaneous leishmaniosis IRAN high prevalence
2010/1/5
Due to the high prevalence of anthroponotic cutaneous leishmaniosis (ACL) in Barn city, a survey was carried out to determine epidemiological characteristics of ACL in Barn in 1992. For this purpose, ...
Background: On December 26, 2003 an earthquake measuring 6.8 on the Richter scale, shook the city of Bam in the south east of Iran and killed more than 40000 people and nearly 30000 were injured. This...
非自治分布时滞BAM神经网络的绝对指数稳定性
BAM神经网络 分布时滞 绝对指数稳定性 不动点
2009/11/20
利用Brouwer不动点理论和不等式技巧, 讨论了非自治分布时滞BAM神经网络的绝对指数稳定性, 给出了实用有效的判定条件,仅要求激活函数满足局部Lipschitz条件,所得结果更容易验证。 例子说明结果的有效性。
不确定时滞BAM神经网络的鲁棒稳定性
鲁棒稳定性 变时滞 线性矩阵不等式
2009/7/24
利用自由权值矩阵和不等式分析技巧，研究了一类不确定时滞BAM神经网络的鲁棒稳定性问题。通过构造适当的Lyapunov泛函，对于所有允许的不确定性，以线性矩阵不等式形式给出了时滞BAM神经网络的全局鲁棒稳定性判据，该判据能够利用Matlab的LMI工具箱很容易地进行检验。此外，仿真示例进一步证明了判据的有效性。
Eu2+掺杂浓度对BAM光谱特性的影响
BaMgAl10O17∶Eu2+ 燃烧法 光谱特性
2009/5/11
采用燃烧法在低温成功合成了纳米Ba1-xMgAl10O17∶xEu2+ (0.05≤x≤0.4)蓝色荧光粉，着重研究了Eu2+掺入量对荧光粉光谱特性的影响。利用XRD和SEM对材料的物相和形貌进行了分析，采用荧光光谱仪测定了样品的发光特性。结果表明，合成的产物为纯相，且颗粒细小、分布均匀，平均粒径约30 nm。Eu2+的掺杂浓度对样品的发光性能有显著的影响，随Eu2+浓度增大，发光中心增多，Eu2...
基于LMI方法的时滞BAM神经网络的全局稳定性分析
标准神经网络模型 时滞双向联想记忆神经网络 线性矩阵不等式
2009/4/30
对于时滞双向联想记忆(DBAM)神经网络的平衡点的稳定性问题，目前人们已经得到了很多富有意义的成果。该文提出一种新的神经网络模型——标准神经网络模型(SNNM)，通过状态的线性变换，将DBAM神经网络转化为时滞SNNM(DSNNM)，并利用有关DSNNM的稳定性的一些结论，得到DBAM神经网络平衡点的全局渐近稳定性的充分条件。这些条件都以线性矩阵不等式(LMI)的形式给出，容易验证，保守性低。该方...
LMI approach to stability analysis of discrete-time BAM neural networks with time-varying delays
Discrete-time BAM neural network exponential stability
2010/9/10
In this paper, a discrete-time bidirectional associative memory (BAM) neural network with time-varying delays is considered. The description of the activation functions is more general than the recent...