The Research of Currency Recognition Based on MBP-RO Hybrid Learning Strategy
Jianbiao He · Computer and Information Technology · 2008
Pattern-recognition methods of nerve network are a new research direction in pattern-recognition domain and BP algorithm is the most widespread one in the nerve network algorithms.To overcome the drawbacks of falling into local minimum and slow convergence during Back-Propgation(BP) neural network learning,employed a hybrid learning strategy and MATLAB simulation is made to analyze result of the currency identification model.The experiment indicates: MBP-RO model neural networks has shortened training time and gained higher speed and better outcomes,it shows the model have advantage in currency identification.