Yarn Quality Prediction for Small Samples Based on AdaBoost Algorithm

In order to solve the problems of weak prediction stability and generalization ability of a neural network algorithm model in the yarn quality prediction research for small samples, a prediction model based on an AdaBoost algorithm(AdaBoost model) was established. A prediction model based on a linear regression algorithm(LR model) and a prediction model based on a multi-layer perceptron neural network algorithm(MLP model) were established for comparison. The prediction experiments of the yarn ev...     

图像法测定羊毛卷曲度

设计了一个测试系统,研究了采用图像分析技术对羊毛纤维的两维卷曲进行测量的方法,提出了羊毛卷曲的定量指标——卷曲曲率半径,采用切比雪夫曲线拟合的方法构造羊毛卷曲的数学模型,研究了不同测试长度下羊毛卷曲曲率半径的变化,分析了测试长度对测试结果的影响.实测表明,该系统具有较好的可行性.