Application of Machine Learning Algorithm Based on Neural Network Technology

Abstract

Abstract Neural networks have strong characteristics for processing data and information. At the same time, the current computer technology is also very advanced, and many kinds of very powerful information technologies have been developed under the promotion and promotion of modern science and technology. Therefore, relevant personnel will carry out advanced technology and neural network structure methods. Fusion, and then an artificial neural network was established on this basis. In a broad sense, machine learning refers to how to enable a machine to acquire relevant knowledge through autonomous learning, and the purpose is to enable the machine to have relevant skills similar to what people need to acquire knowledge. The research in this article aims to explore the machine learning algorithms based on neural network technology, and through literature research methods, case analysis methods, etc., to have an in-depth understanding of machine learning algorithms in neural network technology, and then through the analysis of machine learning algorithms in neural network technology The learning advantage and its influencing factors are designed based on the machine learning algorithm in the neural network and experimented. Experimental results show that LSTM performs well in replication tasks, and the performance of LSTM even far exceeds that of NTM, but the performance of LSTM in addition and multiplication tasks is much lower than that of NTM. Although the accuracy of NTM on the test set is higher than that of LSTM and RNN, the performance of the model is still relatively poor.