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 e-nose system and Gaussian process (GP) classifier were used to accurately monitor physical and chemical changes in solid-state fermentation (SSF) of crop straws to replace off-line chemical analysis in laboratory. The SSF experiment cycle is seven days and the gas monitoring data sets were collected by e-nose every 24 hours. In this experiment 20 data sets corresponding to 20 batches of fermentation processes were collected, and ten of which were used for training GP classifier, while the rest for testing the performance of it. Test results show that the e-nose system could effectively monitor SSF process of crop straws and the classification accuracy of GP classifier was higher than that of support vector machine classifier or neural networks classifier. So the e-nose system combined the GP classifier method could be an effective strategy to monitor SSF process of crop straws.