1) J-divergence entropy
判别熵
1.
Feature was extracted with independent component analysis by maximizing J-divergence entropy (ICA-MJE), and then Support Vector Machine (SVM) was used to match two iris codes.
对虹膜纹理采用最大判别熵的独立分量分析(ICA-MJE)实现特征提取,通过支持向量机(SVM)完成模式匹配。
2.
Firstly,minimum J-divergence entropy was applied to extract the risk early-warning index and to find out the most effective feature by feature extraction.
利用判别熵最小化选取项目风险预警指标值,通过特征选取找出那些最有效的特征,研究出一种新的聚类算法——极大熵聚类算法,极大熵聚类算法是以概率为比例将任一指标向量分配给所有码向量,而不是仅仅只分配给与之最近的码向量,该算法是C-均值算法的一种推广。
2) Minimum J-divergence entropy
最小判别熵
3) information entropy discrimination
信息熵判别法
4) Minimization of J-Divergence Entropy
判别熵最小化
5) total entropy criterion
总熵判据
1.
Then that the total entropy criterion and the inequality of Chausius were all the same in essence was indicated.
首先讨论了环境熵变和热源熵变间的区别，以及两者相同时的条件；然后阐述了总熵判据和克劳修斯不等式在本质上并无不同之处，都可以用于判别过程的可逆性；最后将总熵变与隔离体系的熵变相比较，对它们的用途进行了详细讨论。
6) entropy criterion
熵判据
1.
The relationship between η=-W/Q 1 of the irreversible heat engine and its cyclic direction is proved according to Clauius statement of second law of thermodynamics and entropy criterion.
根据热力学第二定律的克劳修斯说法和熵判据论证不可逆热机的η=- W/ Q1 与循环方向有关 。
2.
According to Whalley's activation entropy criterion and Zuckcr-Hammett's hypothesis and Taft's entropy criterion, A-2 mechanisms is attained.
根据whallcy的活化熵判据,Zucker-Hammett假说,Taft熵判据,得出的结论与Whallcy,Noblc等人用活化体积作为判据所得的结论相同即A-2杌理。
3.
From the entropy criterion of isolated system,the balance equilibrium condition of multi-compound poly-phase system C_V>0,(P[]V)_(T,N_i)<0,∑l[]i=1∑l[]j=1(μ_i[]N_j)_(T,P,N_k)δN_jδN_i>0 is intensively deduced,and the physical significance of the balance equilibrium condition is given and proved.
从熵判据出发,对多元复相系的稳定平衡条件进行了详细的推证,给出了多元复相系的稳定平衡条件:CV>0,PV<0,∑li=1∑lj=1μiNδΝjδΝi>0,并对稳定平衡条件的物理意义作了说明。
补充资料：里雅普诺夫判别定理
见运动稳定性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条