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Practice base teaching evaluation plays an important role in university teaching management and is a hotspot research field for researchers related. The paper takes university English practice base teaching for research sample, and presents a new Legendre wavelets neural network algorithm to evaluate practice base teaching. Firstly, an indicator system of university English practice base teaching evaluation is designed through analyzing the aspects of teaching preparation, specific teaching, teaching administration and teaching effects. Secondly, Legendre wavelets are used to improve BP neural network algorithm to overcome its shortages of low convergence in calculation based on analysis of BP working principle. Thirdly, taking sample research data from three universities, the experimental results indicates that the presented Legendre wavelets neural network algorithm can be used in evaluating English practice base teaching for different universities and guarantee the evaluation validity and effectiveness.

A New Legendre Wavelets Neural Network Algorithm for Evaluating English Practice Base Teaching