Recognition of Noisy English Letter by Quantum Back Propagation Network
Shengmei Zhao, Jianhua Huang, Baoyu Zheng · 2006
It is suggested that a type of artificial neural network can be built using the principles of quantum information processing. A new technique for the recognition of noisy English letter using quantum neural network is proposed in this paper. A qubit neuron model based on quantum mechanics, constructed the quantum back propagation learning rule network (QBP) is given, and a high reliability has been achieved. The numerical experiments of the identification of noisy English letters based on the quantum network has been performed, it is shown that QBP can identify the noised English letters efficaciously; the recognition rate may reach the 100% when the variance of the noise is less than 0.35, and has more improvement performance in anti-noise than that of conventional back propagation neural network, the error recognition rate decreases from 20.46% to 3 % when the noise variance is set to 0.40