Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system

Meng, Lu; Gu, Zhixing; Li, Fēi; Liu, Xiaohui; Zeng, Guoqiang; He, Xingjie

doi:10.1088/1742-6596/1774/1/012047

Cited by 7 publications

(2 citation statements)

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“…From the topological organization point of view, the BP neural network is a typical and forward hierarchical network, which is distributed into three di erent layers, i.e., the input layer, the output layer, and the hidden layer. Neuron nodes are not connected in the same layer of the network, and the hidden layer of a BP network can have one or more layers [16]. Figure 3 shows the three-layer BP ANN structure and classical prototype.…”

Section: E Influence Of the Economy Of Knowledge Over Innovation In A...mentioning

confidence: 99%

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Chen

2022

Mobile Information Systems

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At present, economic business activities occur to the accounting element confirmation link of the accounting information system (AIS), which still occupies a large amount of manpower and material resources of the enterprise to generate information. This has been restricting the development of modern AIS. Based on this, first, this paper studies the influence of the knowledge economy on accounting innovation and in the innovation economy. The process of confirmation for accounting elements in economic business, under the traditional AIS, is analyzed. Then, the model of the accounting element confirmation, i.e., BPNN, is constructed by combining the backpropagation (BP) neural network (NN) theory with the artificial intelligence (AI) algorithm. Finally, we simulate the confirmation process of accounting elements based on the economic business data of specific online stores. The experimental outcomes illustrate that under the proposed BPNN model, the output value of the accounting entry is also increasing and has been in the interval [0, 0.14] with the continuous increase in the input value of economic business activities. Moreover, the overall simulation error of economic business activity data does not exceed 0.3% in the simulation test of the proposed accounting business data confirmation model based on the BPNN algorithm. The empirical outcomes indicate that the model has high accuracy and reliability. The purpose is to realize the identification of business events by machines and complete the automatic confirmation of accounting elements in the back-end economic business of online stores. This paper provides new ideas for realizing the overall intelligence of the AIS.

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Section: E Influence Of the Economy Of Knowledge Over Innovation In A...mentioning

confidence: 99%

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Chen

2022

Mobile Information Systems

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“…Therefore, it is difficult to accurately use traditional mathematical models to evaluate teaching quality. Based on BP neural network, a feasible teaching quality evaluation model is established [6], and the objectivity of evaluation is improved through the application of information technology. Fan and Ma [7] used the optimized BP neural network to systematically simulate the research on the teaching quality of college teachers and its influencing factors, and established a corresponding evaluation model.…”

Section: Introductionmentioning

confidence: 99%

Research on the Quality Evaluation of Online and Offline Teaching in Universities and Colleges based on BP Neural Network

2023

Proceedings of 2023 the 13th International Workshop on Computer Science and Engineering

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With the deepening of teaching reform and the development of online teaching, the online and offline teaching mode has become a hot spot in the current teaching reform in colleges and universities. In this paper, the BP neural network will be used in the teaching quality evaluation of the mixed teaching mode in colleges and universities, and the evaluation system will be innovated for the particularity of the mixed teaching mode. Evaluate the whole process of the online and offline teaching modes from three different perspectives: supervisors, teachers, and students, so as to better ensure the objectivity of the evaluation results and provide a reference for the research on teaching quality evaluation.

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Application of BP Neural Network Algorithm in Teaching Evaluation and Learning Prediction

2023

Lecture Notes in Electrical Engineering

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Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system

Cited by 7 publications

References 0 publications

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Application Analysis of Artificial Intelligence Algorithm in Accounting Field under the Background of Innovation Economy

Research on the Quality Evaluation of Online and Offline Teaching in Universities and Colleges based on BP Neural Network

Application of BP Neural Network Algorithm in Teaching Evaluation and Learning Prediction

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