Abstract
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.
Highlights
With the development of computer science and technology, the development of artificial intelligence advances rapidly in the field of image restoration
BP neural network refers to a kind of multilayer feedforward bionic algorithm
The predicted output ( O ) of bionic algorithm can be calculated by the output at the hidden layer ( H ), the specific gravity of connection (Zjk ) and the range (b)
Summary
BP neural network refers to a kind of multilayer feedforward bionic algorithm This algorithm has two main features: The first feature is the forward transmission of information; the second feature is the reverse transmission of error. Initialize the specific gravity connected between the printing layer t(hZe nijeaunrdonZs at jk the typing layer ), the range at and the hidden layer (a), the range at the printing layer (b) and a given acquisition rate and agitation function. Second step: output at the hidden layer. The range (a) according to the matrix(X,Y), so as to calculate the output at the hidden layer (H). The predicted output ( O ) of bionic algorithm can be calculated by the output at the hidden layer ( H ), the specific gravity of connection (Zjk ) and the range (b). If it cannot meet the standard, return to the second step [4]
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