Image Restoration Technology Based on Discrete Neural network

With the development of computer science and technology, the development of artificial intelli- gence advances rapidly in the field of image restoration. Based on the MATLAB platform, this paper constructs a kind of image restoration technology of artificial intelligence based on the discrete neural network and feedfor- ward network, and carries out simulation and contrast of the restoration process by the use of the bionic algo- rithm. Through the application of simulation restoration technology, this paper verifies that the discrete neural network has a good convergence and identification capability in the image restoration technology with a better effect than that of the feedforward network. The restoration technology based on the discrete neural network can provide a reliable mathematical model for this field.

[1]  Jitendra K. Tugnait On blind identifiability of multipath channels using fractional sampling and second-order cyclostationary statistics , 1995, IEEE Trans. Inf. Theory.

[2]  Er-Wei Bai,et al.  Blind source separation/channel equalization of nonlinear channels with binary inputs , 2005, IEEE Transactions on Signal Processing.

[3]  Ting Liu,et al.  Study on Fuzzy Neural Network Classifier Blind Equalization Algorithm , 2006, 2006 IEEE International Conference on Information Acquisition.

[4]  Tillal Eldabi,et al.  A Proposed Multiagent Model for Bus Crew Scheduling , 2006, Proceedings of the 2006 Winter Simulation Conference.

[5]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.