The algorithm uses a cross-entropy-based sensor effectiveness matrix and threat level for realizing optimum sensor management in multi-sensor multi-target tracking applications.
该算法通过基于互熵的传感器效能矩阵,引入目标威胁等级产生多传感器的最优管理策略。
Most of existing fuzzy information entropy definitions are reviewed before fuzzy mutual entropy and information transmission index are introduced for the first time.
在回顾了大多数模糊性的信息熵度量定义之后 ,首次定义了模糊互熵和信息传输指数等新概念 。
The cross entropy theory is discussed, a new concept of Symmetric Cross Entropy Criterion (SCEC) is proposed and proved that SCEC is a distance measure.
对交互熵理论进行了研究,提出了对称交互熵的概念,并论证了它是一种距离测度,可以用以度量两个随机变量的差异程度,我们把它作为信息特征压缩的类别可分性判据,称之为对称交互熵判据(SCEC),建立了基于SCEC的信息特征压缩算法。
Quantum mechanical channel and quantum mutual entropy in the two-photon Jaynes-Cummings model with atomic motion;
具有原子运动的双光子J-C模型中量子力学通道与量子互熵
In this paper, we apply some properties of fuzzy alternation entropy and Similar function to clustering and add a new method of a fuzzy technique to information classification.
把模糊交互熵和模糊似然函数的性质应用到模式聚类中 ,从而为模式聚类增加了新一种方法 ;最后给出安德林 (IRIR)数据实验对比情
