Study on the Offset Color Reproduction Control System Based on Fuzzy Neural Network

摘要

The recursive CFNN model was established against the characteristics of offset color reproduction quality control. The neural network can be used to construct the fuzzy system, and the self-adaptive and self-learning capability of neural networks was used to automatically adjust fuzzy system parameters, BP network could be learned and trained by the gradient descent algorithm. Based on the test data for the study and testing of network, system error is less than the national standard error requirements, the results proved the effectiveness and feasibility of the algorithm.