This paper research some important aspects of different rule engines to breaking the difference of rule engines, and offer a new solution.
为了屏蔽不同规则引擎的差异,本文对规则引擎的一些重要方面进行了研究,提出了兼容规则引擎的解决方法。
Given that the only fundamental difference between them is the name of the class, it would help to have a simple way to create a template for a single rule that handles all cases.
假设它们之间唯一的根本差别是类名称,那么它将有助于利用一个简单的方法来为能够操作所有类的唯一的规则创建模板。
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.
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。
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