Flotation froth working condition identification method based on co-occurrence augmented matrix in dual-tree complex wavelet domain
A dual-tree complex wavelet and augmented matrix technology, applied in image enhancement, image analysis, instruments, etc., can solve problems such as index fluctuations, unstable production processes in flotation sites, etc., achieve optimal control, overcome subjectivity and arbitrariness , To ensure the effect of production efficiency and economic benefits
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[0128] Standard SVM has been widely used in various fields, but it has two limitations. One is that the selection of the kernel function and its parameters is mainly based on manual attempts, and there is no clear and unified method, so the selection process is quite cumbersome; the other is that the processing effect of single-core SVM is not ideal for the characteristic data that obeys different distribution characteristics. The number of texture features extracted by the present invention is large, and different features may have different distribution characteristics. Therefore, a MultiKernel Support Vector Machine (MultipleKernel Support Vector Machine, referred to as MKL-SVM) can be used to identify the flotation conditions. The principle is to use a linear combination of multiple basic kernel functions to replace a single kernel function in a standard support vector machine, which can avoid the burden of selecting kernel functions and their parameters, and can also be we...
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