Software Code Recognition Technology in Power Industry Based on Convolutional Neural Network

The power industry plays an important role in the national economy. With the development of science and technology, the Internet technology is becoming more and more mature, which makes us have a deeper understanding of computer network systems. Convolutional neural network is a new type of unsupervised algorithm in power system. It processes on simulated biological neurons and has strong robustness and global optimization ability. This paper mainly introduces the convolution based neural network and its framework design principle, and proposes a simple, feasible and effective program code writing flow chart for this technology. Finally, the simulation results of convolutional neural network applied to power system and the effect after testing are explained. The test results show that the recognition time of software code recognition technology based on convolutional neural network algorithm is faster than that of traditional neural network, and the overall time of this algorithm is lower than that of traditional neural network algorithm. This shows that the neural network algorithm in this volume can improve the technical efficiency of software code recognition in the power industry.