GABP Neural Network Algorithm in Computer Intelligent Image Recognition Technology

Recently, with the speedy advancement of the PC technology, people can perform intelligent image recognition on images, and convert them into digital information by quickly analyzing and recognizing them. During this period, Neural Network technology has developed rapidly and is widely available in various sectors of business, life and science. This paper proposes a novel image recognition method by combining genetic algorithm and BP neural network on the basis of GABP multilayer neural network. The results of the tests show that the error value of the GABP network gradually stabilizes with the increase of training times and stabilizes at about 0.05, and the difference of the BP neural network is about 0.06. And the convergence time of GABP neural network convergence time is maintained within 0.45s. In the contrast with BP neural network method, GABP deep neural network algorithm has the advantages of fast conversion rate and short cultivation duration.