Exploration of Course Teaching Reform Based on the Construction of Teaching Resource Base Under Neural Network

Abstract

The construction of network teaching resource database is an important content of school education information construction and quality education reform in the information age. The construction of teaching resource database based on neural network is a method of automatic classification of teaching resources. Classification is done by using data collected from various sources, such as the Internet, books, periodicals and other resources. The classification process involves identifying patterns in these datasets. These patterns are then used to build a model that can be used to predict the category to which any new resource belongs. Although this approach has some limitations, it cannot identify all possible categories of any given resource. It also requires manual curation and validation before it can be used in practice.