感知器培训规则是基于这样一种思路—权系数的调整是由目标和输出的差分方程表达式决定。
The perceptron training rule is based on the idea that weight modification is best determined by some fraction of the difference between target and output.
数据源的范围很广，从简单的资源(比如演示和图像)到复杂的感知模式的数据源(比如关系数据库或Personal Information Management [PIM]数据库)。
Data sources can range from simple resources, such as memos and images, to complex schema-aware data types, such as relational databases or Personal Information Management (PIM) databases.
统计分析结果显示，“感知质量”与“熵”的相关性系数只有0.41，说明熵统计方法在彩色夜视融合图像质量评价上存在困难。
Experimental result shows that the correlation coefficient between perceptual quality and entropy is only 0.41, the entropy method is difficult to assess color fusion images for night vision.
统计分析结果显示，“感知质量”与“熵”的相关性系数只有0.41，说明熵统计方法在彩色夜视融合图像质量评价上存在困难。
Experimental result shows that the correlation coefficient between perceptual quality and entropy is only 0.41, the entropy method is difficult to assess color fusion images for night vision.
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