基于神经网络的棉花质量检测系统的可行性分析

The Feasibility Analysis of the Cotton Quality Inspection System Based on Neural Network

研究了气固两相流中固体质量的检测方法,针对棉花气力输送的非均匀性进行了分析,提出了应用神经网络进行棉花质量建模的分析方法,并分析了神经网络建模的过程,确定了系统的研究方案。

We studied solid quality detection methods in gas-solid two-phase flow. The inhomogeneity of cotton pneumatic conveying was analyzed. Thus the analysis method of the neural network applied in cotton quality modeling was put forward. Neural network modeling process was analyzed, and the research scheme of the system was determined.