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Neural network often is trained by multilayer feedforward neural network ago, but it may fall into local minimum point. In this article, swarm optimization particle is improved so that it can adapt to solve optimization problem of discrete variables. At the same time, introducing the crossover operation of genetic algorithm make it form hybrid particle swarm optimization. Then combining the method...
Support vector machine (SVM) is a popular pattern classification method with many diverse applications. Kernel parameter setting in the SVM training procedure, along with the feature selection, significantly influences the classification accuracy. This study simultaneously determines the parameter values while discovering a subset of features, increasing SVM classification accuracy. The study focuses...
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