recognition rule
1.In view of adaptive learning for diagnostic images recognition, studying the theorem and the rule of ART artificial neural network to learning and adaptive, provided an algorithm with a function of self-stability and classifier learning.
2.Despite this state recognition of federal standards, the majority of states profess to follow the Frye rule, creating evidenciary ambiguity that may not be resolved until appellate courts or legislatures address the issue.
3.3) In the stage of recognition, firstly we compare several methods that are used abroad in near year, and introduce neural network mostly. We analyze the building of models、 learn rule and network training of BP algorithm.
4.This paper also proposes to employ this rule acquisition method in recognition systems, making the rules of one system can be generated and adjusted conveniently, so it is much easier for the systems adapting to new types of engineering objects.
5.The conception of region combination is introduced, the threshold of adjacent region is taken as the rule of judging region combining, and the gray level of object that depend on IIPS(Interactive Information Process Systems) is weighed with the threshold of each region. The discontinuity of gray is decreased; the performance of the object recognition is improved.
