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In cloud computing and high performance computing, a large job is typically divided into many small tasks for parallel execution in a distributed environment. Due to different reasons, some tasks (so-called ‘stragglers’) are considerably slower than the others, delaying the completion of the job. We propose a new machine learning approach to automatically identify and diagnose the stragglers. To first...
This article builds the system of comprehensive evaluation index system for transformer substation address selection with the analysis of Huadian project for power transmission and transformation, due to the comprehensive evaluation of power transmission and transformation project involving multiple factors, analytic hierarchy process (AHP) is used to determine the weight of each evaluation index...
Based on the current situation of rural power grid construction and reformation project in Jilin rural areas, evaluation index system of rural power grid reformation project is established. Aiming at characteristics of a larger number of indicators, rural power grid reformation evaluation model is put forward based on rough set and support vector machine. Through the examples analysis of evaluation...
This paper presents a pair of hypothesis spaces (HSs) of vector-valued functions intended to be used in the context of multitask classification. While both are parameterized on the elements of reproducing kernel Hilbert spaces and impose a feature mapping that is common to all tasks, one of them assumes this mapping as fixed, while the more general one learns the mapping via multiple kernel learning...
In this paper, according to the current status of Jilin province power network construction and transformation projects, established the evaluation index system of power distribution network transformation project. Aiming at the characteristics of the large number of index, proposed a model of evaluating the power distribution network transformation based on rough set and support vector machine (SVM),...
The garbage crusher is one of the important parts in recoverable coal production line. To diagnose its faults during the working process, back propagation algorithm is used. However, it has some shortcomings, such as low precision solution, slow searching speed and easy convergence to the local minimum points. To overcome this problem, a novel method which integrates back propagation neural network...
Support vector machine is a novel machine learning method in recent years, the SVM with RBF is widely used in pattern recognition because of its good learning properties. If Support vector machine is applied into risk assessment, it will get better assessment results. But the performance of RBF-SVM is influenced greatly by the parameter of C and sigma. The principle of SVM and the essence of kernel...
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