Abstract
With the development of neural networks in deep learning, artificial intelligence machine learning has become the main focus of researchers. In College English grammar detection, oral grammar is the most error rate content. So, this paper optimizes MLP based on GA in the deep learning neural network and then studies the intelligent image correction of College English spoken grammar. The main direction is to discuss and analyze GA-MLP-NN algorithm technology first and then predict the error correction model of spoken language grammar by combining the optimized algorithm. The results show that GA-MLP-NN provides excellent accuracy for the prediction of the whole syntax error correction model. Then, the paper studies the deep learning technology to build an intelligent image error correction model of College English spoken grammar. The results show that the effect of intelligent correction of spoken grammar is very fast and accurate.
Highlights
With deep learning, neural networks and other research methods gradually become the focus of the development trend of intelligent image society [1]
E innovation of this paper is to optimize the MLP based on the Genetic Algorithm in the in-depth learning neural network and study the intelligent image correction of College English spoken grammar. e main direction is to first discuss and analyze the GA-MLP-NN algorithm technology and predict the error correction model of oral grammar combined with the optimization algorithm
Based on the analysis of the development of deep learning and neural network, this paper proposes a prediction model based on the GA-MLP-NN neural network
Summary
With the development of neural networks in deep learning, artificial intelligence machine learning has become the main focus of researchers. This paper optimizes MLP based on GA in the deep learning neural network and studies the intelligent image correction of College English spoken grammar. E main direction is to discuss and analyze GA-MLP-NN algorithm technology first and predict the error correction model of spoken language grammar by combining the optimized algorithm. E results show that GA-MLP-NN provides excellent accuracy for the prediction of the whole syntax error correction model. En, the paper studies the deep learning technology to build an intelligent image error correction model of College English spoken grammar. E results show that the effect of intelligent correction of spoken grammar is very fast and accurate
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