The Application of GMKL Algorithm to Fault Diagnosis of Local Area Network
Based on the existing methods in the study of local area network in the fault diagnosis, this paper proposed the GMKL algorithm in the fault diagnosis application. In the GMKL training process, first of all, it should give the transformation and normalization of the collected data characteristics; It tried to use different kernel function combination methods in order to get the Multiple-kernel function comparing results, so choose a good many kernel function. The experimental results showed that: GMKL method in feature extraction, multiple targets detection and pattern recognition and other fields to machine learning provides a wide range of application prospects and rich design ideas. The generalized multi-kernel learning method can be well applied in the data that has large scale sample, dimension complex and contains a large number of heterogeneous information, and so on