The application of particle swarm optimization for the training of neural network in English teaching
Cluster Computing, ISSN: 1573-7543, Vol: 22, Issue: S2, Page: 3989-3998
2019
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Particle swarm optimization and neural network algorithm are very novel computer intelligent algorithms, and with the development of computer technology, these algorithms have been applied to various fields. Because of obvious advantages, in this paper, the particle swarm optimization and neural network algorithms were applied to English teaching. English is an international language, and the teaching of English is the basis of learning English. Therefore, the study of English teaching can promote the process of internationalization, which is more convenient to spread the knowledge of different countries, and it also makes the economic trades between different countries go on faster. Therefore, the use of particle swarm optimization in the training of the neural network and its application in English teaching are subjects that are worthy of study. In this paper, the current research status at home and abroad was firstly analyzed, and the shortcomings of the traditional algorithms were improved; then, the improved algorithm was applied to the study of English teaching; finally, the effectiveness of the algorithm was verified by the experiment simulation.
Bibliographic Details
Springer Science and Business Media LLC
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