Construction and Evaluation of a Blending Teaching Model of Linear Algebra and Probability Statistics in the “Internet +” Background by Using the Gradient Newton Combination Algorithm

Abstract

Currently, Blending teaching mode based on “Internet +” gradually prevails in colleges and universities, leading the new direction of the development of higher education mode. This paper establishes a discrete process neural network model. A Comparative Analysis of the Teaching Effects of Blending teaching class and Ordinary Classes in the Course of “Linear Algebra and Probability and Statistics” in the “Internet +” Background Using the gradient Newton binding algorithm. The experimental results show that the class of Blending teaching has a great improvement in its application ability and has a good teaching effect.