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A novel hybrid algorithm based radial basis function (RBF) neural network is proposed for network anomaly detection in this paper. The quantum-behaved particle swarm optimization, which outperforms other optimization algorithm considerably on its simple architecture and fast convergence, has previously applied to solve optimum problem. However, the QPSO also has its own shortcomings. So, a hybrid...
In this paper, a novel hybrid algorithm based wavelet neural network (WNN) is proposed for network anomaly detection. This new evolutionary algorithm, which is based on a hybrid of quantum-behaved particle swarm optimization (QPSO) and conjugate gradient algorithm (CG), is employed to train WNN. The quantum-behaved particle swarm optimization, which outperforms other optimization algorithm considerably...
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