Network anomaly detection, in order to improve the rate of detection of abnormal status, reduce miscalculation on the normal rates, the paper presents a Wavelet neural network based on quantum-behaved Particle Swarm Optimization algorithm for training new methods for network anomaly detection. Using quantum-behaved Particle Swarm Optimization algorithm (QPSO) training using Wavelet neural networks and Wavelet neural networks (WNN) parameters of combinatorial optimization algorithms as a particle, the global space for optimal Adaptive values of the parameter vector.




File list:
qpso.m