ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

The design of the classifier is an important part for the image recognition system of the stored-grain pests. The simulated annealing algorithm (SAA) was proposed to optimize parameters C and g in the classifier based on support vector machine (SVM), and it was compared with the grid-search optimization. The results indicated that the optimizing efficiency was improved about 3.91 times, and the recognition ratio of the SVM classifier was raised by 5.56%. The nine species of the stored-grain pests in grain-depot were automatically recognized by the classifier based on simulated annealing algorithm and support vector machine, the correct recognition ratio was over 95.56%. The experimental results prove that the method is practical and feasible.  