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Entrepreneurship education is the key to cultivating the entrepreneurial spirit of national talents. The goal of entrepreneurship education is to cultivate a large number of pioneering talents, and women’s entrepreneurship education is particularly important. The government, enterprises, schools, and all sectors of society start from multiple channels to let students strengthen their entrepreneurial awareness and improve their entrepreneurial ability. This paper uses the most advanced BP neural network algorithm to study and evaluate women’s entrepreneurship education. This paper briefly introduces the concept and model of the artificial neural network and establishes a BP neural network model while improving the classical BP neural network. Then, we list the application process of the BP neural network model in evaluating women’s entrepreneurship education. We select college students for empirical analysis, determine the number of neurons, and select 9 items as the evaluation index of women’s entrepreneurship education. Using valid assumptions, we further determine the model learning rate and momentum factor. Finally, the results show that the actual evaluation results based on the BP neural network are basically the same as the expected results, and the maximum relative error between the actual value and the expected value is approximately 1.64 %, and the comprehensive evaluation value is 92 points. The proposed algorithm can effectively avoid the problems of instability and slow convergence of the traditional model and can comprehensively improve the accuracy of the evaluation results of women’s entrepreneurship education.

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In a new era of booming information technology, E-commerce has become an important developing country in China, and parents and students have gradually welcomed this profession. In the information age, how to improve the quality of training in professional higher education and then meet the employment needs of industries and enterprises has become a key issue for higher vocational education in China. This article mainly studies the E-commerce professional talent training model based on identity inheritance. This article analyzes the current situation of E-commerce talent training, combines pragmatism, and proposes strategies for training talented E-commerce experts in underdeveloped western regions. The theory of business talent development has certain theoretical significance for guiding and promoting electronic trade and socioeconomic development. The research in this article shows that despite a large number of international trade graduates every year, the electronic trading group (70.1%) is still international trade, and 85.9% of companies still believe that there is a gap between transnational E-commerce traders. In order to “effectively connect” the training of E-commerce talents in higher vocational education and social needs, it is necessary to take the needs of industrial development as the driving force and market demand as the guidance and take practical measures to improve the school-enterprise matching. The distance between talents ultimately promotes professional construction and talent training and achieves a win-win situation for both schools and enterprises.