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In data warehousing Gibbs Sampling is applied in missing value processing due to the many defects in the traditional methods. As long as Full Conditional Distribution Condition (FCDC) is met, Gibbs sampling can solve issues such as high workload and biased data. The method's high operability - it even can be completed in common used tool like Excel - makes it a practical method for real data preprocessing.
A modal Based on rough set theory and BP neural network for the heart disease severity diagnosis and evaluation is proposed. According to the heart disease symptoms data quantized by Konhonen neural network, a decision table is created and reduced using the rough set theory. After reducing the decision table, the symptoms data are the input of the BP neural network, and the diagnosis data are the...
Mutual influence always exists among the indices in engineering project investment evaluation system. Since ANP (Analytic Network Process) technique can scientifically reflect the mutual influence among the indices, it is introduced into this paper instead of AHP to overcome the defect that traditional AHP technique can not reflect the relationship among the indices. And in the weight determining...
The approximation accuracy of RBF network constructed by the incremental learning algorithm to the target was not high. For function approximation or other requirements of high accuracy, such accuracy of RBF network model can not meet the requirements. We have improved this network model focused on three aspects to improve the bottleneck, and have an experiment and comparatively analyze these improvements...
Nowadays sludge bulking is still a serious problem that can disturb the daily operation of activated sludge process in the sewage plants. In this paper, the study on controlling sludge bulking by adding kaolin was introduced. The results showed that adding of the kaolin can control sludge bulking effectively and rapidly. When the dosing quantity of kaolin was 1000 mg/L, the SVI decreased from 330...
Current information service systems are built to serve all users, independent of the special needs of any individual user in different situations. Personalized information service aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations, and they should be understood in context with...
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