Wireless network flow prediction method based on local minimax probability machine

• Main Authors: WANG LI, LIU XINGWEI, LI HUA, BO HUI, CHEN YANQI, WANG XIAOYU
• Format: Patent
• Language: Chinese; English
• Published: 19.09.2012
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; WIRELESS COMMUNICATIONS NETWORKS

The invention provides a wireless network flow prediction method based on a local minimax probability machine, which comprises the following steps of: calculating time delay of a time sequence by using a mutual information algorithm; calculating an embedding dimension by using a Cao method; carrying out phase space reconstruction on the time sequence by using a delay coordinate state phase space reconstruction method to obtain a phase space; calculating the number of proximal points of the phase space by using an AICi information criteria; constructing a proximal point set NNPS by using a KD-Tree-based proximal point selection algorithm; rejecting pseudo proximal points from the proximal point set NNPS' by using a improved K strategy to obtain a cut proximal point set NNPS for constructing a training characteristic set of the minimax probability machine; regulating parameters of the minimax probability machine; and training a model to obtain a prediction value. The wireless network flow prediction method disc