基于支持向量机的卷烟质量评估方法

卷烟质量的优劣迄今仍是靠卷烟评吸专家的感官进行评估。由于受到多种主、客观因素的影响,评估结果的准确性往往难以保证。为此,提出了一种基于支持向量机的卷烟质量评估方法。实例表明,该方法能够根据烟草中的化学成分的测量值来确定卷烟的质量。为今后对卷烟质量进行人工智能评估打下了基础。

A Support Vector Machine Based Evaluation Method for Cigarettes Quality

Up to now,cigarettes quality has been evaluated by the sense of evaluating experts.For the(evaluating) results are affected by a lot of subjective and objective factors,the accuracy of results is hard to be guaranteed.To obtain better results,a method based on support vector machine is introduced for evaluating the quality of cigarettes.It was proved by an example that the support vector machine can define the quality of cigarettes with the measured data of the chemical components of tobacco.So the quality of cigarettes can be evaluated by the output results of the support vector machine,which lays the foundation of artificial intelligence evaluation for cigarette quality.