Improving Accuracy of SVM Using Hybrid Cultural Algorithm

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Provided by: Creative Commons
Topic: Data Management
Format: PDF
There are large numbers of classification algorithm used to classify the data. But classification data with accuracy is a NP-hard problem. So here, the authors used hybrid method to improve the accuracy of SVM algorithm. Here, they are using cultural algorithm along with PSO and SVM. Cultural algorithm is a genetic algorithm. It is used to optimize the parameter and evaluated its performance on the basis of MSE. And also use in feature selection using BPSO. It optimizes the knowledge base Using particle swarm optimization.
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