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In order to solve the problems such as availability of data extraction, better local optimum, gradient to dissipate more efficiently, this paper presents a new method of power transformer fault diagnosis based on deep learning and Softmax classifier. Power transformer fault diagnosis model is established based on stacked auto-encoders and softmax regression, then each restricted boltzmann machine...
The present study describes the collaborative writing problem of Hana nikki, a novel published in Yasunari Kawabata’s name but suspected to be written by Tsuneko Nakazato. The aim of the present study is to visualize variances between the writing styles of the author (Yasunari Kawabata) and the potential co-author (Tsuneko Nakazato). We performed the rolling-SVM method on the pre-established...
CFSFDP is a clustering algorithm based on density peaks, which can cluster non-spherical data sets, and also has the advantages of fast clustering and simple realization. However, the global density threshold dc, which leads to the decrease of clustering quality, is specified without the consideration of spatial distribution of the data. Moreover, the data sets with multi-density peaks cannot be clustered...
Credit risk analysis is to determine if a customer is likely to default on the financial obligation. In this paper, we will introduce sparse non-negative matrix factorization method to discovery the lower dimensional space for reducing the data dimensionality, which will contribute to good performance and fast computation in the credit risk classification performed by support vector machine. We test...
This paper describes a night vision pedestrian detection system for autonomous vehicles using an onboard forward-looking infrared (FLIR) camera. Much emphasis has been placed on real-time processing requirements and robustness of the system under different scenarios. At low level, the Haar-like features are used to discriminate infrared pedestrians. AdaBoost learning algorithm is employed to select...
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