Point set generalization is one of the essential problems in map generalization. On the demands analysis of point set generalization, this paper proposes a method to generalize point sets based on the Kohonen Net mode...Point set generalization is one of the essential problems in map generalization. On the demands analysis of point set generalization, this paper proposes a method to generalize point sets based on the Kohonen Net model; the standard SOM algorithm has been improved so as to preserve the spatial distribution properties of the original point set. Examples illustrate that this method suits the generalization of point sets.展开更多
There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analys...There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.展开更多
Nowadays, the check of the organoleptic characteristics for the evaluation of extra virgin olive oil （EVOO） quality is regulated by the European Union （EU） authorities, which indicate the use of the panel test （P...Nowadays, the check of the organoleptic characteristics for the evaluation of extra virgin olive oil （EVOO） quality is regulated by the European Union （EU） authorities, which indicate the use of the panel test （PT）. It is composed by a team of specialists that give a numerical value to many characteristics about flavours, synthesising a sensory analysis. Each expert answers questions about the aroma by assigning the adequate scores to each oil. The evaluation becomes objective by applying the statistical analysis of all the scores given by the participants： This is the definition of ＂measure＂ of Russell. The PT can be considered a true standard ＂metrological system＂ （considering the number of questions in the questionnaire）, while the perceptions of the testers are the solicitations of it. To allow access to an expensive evaluation process by small companies, this work proposes to ＂disseminate＂ the properties of the metrology represented by PT. The results of the PT are arranged in an unsupervised artificial neural network （ANN）, the Kohonen map, which represents the synthesis of self-organised output that has only the goal, in this paper, to make readable PT results. The dissemination process is obtained by the gas chromatographic （GC） analysis of each oil sample and through the identification of peaks corresponding to the perceptions. These signals are used for the training of the supervised Multi Layer Perceptron （MLP） ANN, with the back propagation algorithm, whose outputs are represented by the results of the PT. This procedure is exact a ＂metrological dissemination of a standard＂ and also the aim of the work： to classify EVOO without always resorting to PT.展开更多
基金Supported by the Science and Research Development Program Foundation of Yangtze University, the National Natural Science Foundation of China （No. 40571133） and the Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping （No. 2006（25））.
文摘Point set generalization is one of the essential problems in map generalization. On the demands analysis of point set generalization, this paper proposes a method to generalize point sets based on the Kohonen Net model; the standard SOM algorithm has been improved so as to preserve the spatial distribution properties of the original point set. Examples illustrate that this method suits the generalization of point sets.
基金Key Science and Technology Project of the Shanghai Committee of Science and Technology, China (No.06dz1200921)Major Basic Research Project of the Shanghai Committee of Science and Technology(No.08JC1400100)+1 种基金Shanghai Talent Developing Foundation, China(No.001)Specialized Foundation for Excellent Talent of Shanghai,China
文摘There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.
文摘Nowadays, the check of the organoleptic characteristics for the evaluation of extra virgin olive oil （EVOO） quality is regulated by the European Union （EU） authorities, which indicate the use of the panel test （PT）. It is composed by a team of specialists that give a numerical value to many characteristics about flavours, synthesising a sensory analysis. Each expert answers questions about the aroma by assigning the adequate scores to each oil. The evaluation becomes objective by applying the statistical analysis of all the scores given by the participants： This is the definition of ＂measure＂ of Russell. The PT can be considered a true standard ＂metrological system＂ （considering the number of questions in the questionnaire）, while the perceptions of the testers are the solicitations of it. To allow access to an expensive evaluation process by small companies, this work proposes to ＂disseminate＂ the properties of the metrology represented by PT. The results of the PT are arranged in an unsupervised artificial neural network （ANN）, the Kohonen map, which represents the synthesis of self-organised output that has only the goal, in this paper, to make readable PT results. The dissemination process is obtained by the gas chromatographic （GC） analysis of each oil sample and through the identification of peaks corresponding to the perceptions. These signals are used for the training of the supervised Multi Layer Perceptron （MLP） ANN, with the back propagation algorithm, whose outputs are represented by the results of the PT. This procedure is exact a ＂metrological dissemination of a standard＂ and also the aim of the work： to classify EVOO without always resorting to PT.
