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The reagent dosages can directly affect the concentrate grade and recovery in the mineral flotation process. For many years, the dosage has mainly been controlled by human observation of froth image features, especially the bubble size. However, the reagent dosage control based on human experience can easily cause fluctuation of the performance index, which may result in wasted ore resources and chemical...
A new online prediction model based on Adaptive Recursive Least Squares Support Vector Machine (ARLSSVM) is presented in this paper, and applied to predict silicon-manganese alloy composition in a 30MVA submerged arc furnace smelting process. By using Recursive Least Squares Support Vector Machine (RLSSVM) regression algorithm, it avoids the difficulty of solving high-dimensional inverse matrix and...
Case feature weights are the keys to affecting the retrieving in case-base reasoning. To solve the problems of the existing algorithms such as poor objectivity and high complexity, a method based on coverage for determining the case feature weights is proposed, which calculates the case feature weights by the affecting of each attribute to the case average coverage. This algorithm has been applied...
Support vector machine (SVM) is powerful for the problem with small sampling, nonlinear and high dimension. A multi-class SVM classifier is applied to fault diagnosis of imperial smelting furnace in this paper. The input data is preprocessed through a special method based on the data reliability analysis technology, and six features are extracted as the input to multiple fault classifier for identify...
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