In the past few years, support vector machines (SVMs) have been applied to many fields, such as pattern recognition and data mining, etc. However there still exist some problems to be solved. One of them is that the S...In the past few years, support vector machines (SVMs) have been applied to many fields, such as pattern recognition and data mining, etc. However there still exist some problems to be solved. One of them is that the SVM is very sensitive to outliers or noises because of over-fitting problem. In this paper, a fuzzy support vector regression (FSVR) method is presented to deal with this problem. Strategies based on k nearest neighbor (kNN) and support vector data description (SVDD) are adopted to set the fuzzy membership values of data points in FSVR.The proposed FSVR soft sensor models based on kNN and SVDD are employed to predict the concentration of 4-carboxy-benzaldehyde (4-CBA) in purified terephthalic acid (PTA) oxidation process. Simulation results indicate that the proposed method indeed reduces the effect of outliers and yields higher accuracy.展开更多
The oxidation of p-xylene to terephthalic acid with molecular oxygen in acetic acids modified carbon dioxide over Co/Mn/Br catalyst was studied in a batch reactor. The results showed that the oxidation of p-xylene to ...The oxidation of p-xylene to terephthalic acid with molecular oxygen in acetic acids modified carbon dioxide over Co/Mn/Br catalyst was studied in a batch reactor. The results showed that the oxidation of p-xylene to terephthalic acid was severely inhibited when carbon dioxide exceeded a certain amount, the conversion of p-xylene decreased rapidly from 100.0% to 3.3% and the yield of terephthalic acid dropped from 42.6% to trace. Whereas the oxidation processes of p-Tolualdchyde to p-Toluic acid and 4-Carboxybenzaldehyde to tcrcphthalic acid were improved when a relative small amount of CO2 v/as added, Further investigation found that this negative effect may be caused by multiphase reactions emerging.展开更多
基金National Key Technologies Research and Development Program in the 10th five-year plan，国家杰出青年科学基金
文摘In the past few years, support vector machines (SVMs) have been applied to many fields, such as pattern recognition and data mining, etc. However there still exist some problems to be solved. One of them is that the SVM is very sensitive to outliers or noises because of over-fitting problem. In this paper, a fuzzy support vector regression (FSVR) method is presented to deal with this problem. Strategies based on k nearest neighbor (kNN) and support vector data description (SVDD) are adopted to set the fuzzy membership values of data points in FSVR.The proposed FSVR soft sensor models based on kNN and SVDD are employed to predict the concentration of 4-carboxy-benzaldehyde (4-CBA) in purified terephthalic acid (PTA) oxidation process. Simulation results indicate that the proposed method indeed reduces the effect of outliers and yields higher accuracy.
文摘The oxidation of p-xylene to terephthalic acid with molecular oxygen in acetic acids modified carbon dioxide over Co/Mn/Br catalyst was studied in a batch reactor. The results showed that the oxidation of p-xylene to terephthalic acid was severely inhibited when carbon dioxide exceeded a certain amount, the conversion of p-xylene decreased rapidly from 100.0% to 3.3% and the yield of terephthalic acid dropped from 42.6% to trace. Whereas the oxidation processes of p-Tolualdchyde to p-Toluic acid and 4-Carboxybenzaldehyde to tcrcphthalic acid were improved when a relative small amount of CO2 v/as added, Further investigation found that this negative effect may be caused by multiphase reactions emerging.
