Evaluation and analysis of classroom teaching quality of art design specialty based on DBT-SVM
Evaluating the quality of classroom teaching in higher education can improve teachers' teaching, but the evaluating results are currently inaccurate. The study combines the binary tree support vector machine (BT-SVM) and the Euclidean distance method to ...
Research on the application of deep learning algorithm based PS design software technology in oil painting teaching
More and more minors are cultivating oil painting as a hobby. Beginners of oil painting often cannot correctly identify optimised styles and similar painting objects due to the lack of professional knowledge and insufficient aesthetic ability of oil ...
The application of clustering algorithms in a new model of knitted garment talent training in the context of sustainable development
Under the concept of sustainable development, the innovation and development of the knitted garment industry is crucial. In order to enhance the core competitiveness of the knitted garment industry, the study proposes a talent training strategy for the ...
Research on tennis-assisted teaching assessment technology based on improved dense trajectory algorithm
With the continuous development of artificial intelligence technology, tennis robots begin to enter people's lives. This study proposes a tennis-assisted teaching evaluation method based on improved dense trajectory algorithm. The results show that the ...
Application analysis of data mining based on improved decision tree in English flipped classroom teaching
This study aims to analyse the application of data mining based on improve decision in English flipped classroom teaching. The experimental results show that the improved C4.5 algorithm had a better performance than ID3 algorithm and C4.5 algorithm and ...
Construction of a GA-RBF-based early warning model for corporate financial risk in the context of sustainable development
Financial risk indicators will have a negative impact on the development planning of enterprises, so the research introduces the theory of genetic algorithm. The result is that the overall performance of the model based on GA-RBF is superior to that of ...
AGA-BP algorithm for the evaluation model of teaching quality of dance drama performance
Firstly, the evaluation system was determined, then the AGA and BP neural network algorithms were improved, and finally the entropy weight method was used to construct the dance drama performance teaching quality evaluation model. The optimal hidden layer ...
Analysis of the application of HMM algorithm in teaching musical note feature recognition in universities
With the rapid development of music education and information technology in colleges and universities, how to improve the efficiency of teachers' teaching in current music courses has increasingly become a focus of public attention. This study aims to ...
Research on government network public opinion monitoring algorithm under the background of sustainable smart government
It is very necessary for the government to strengthen the supervision of network information. Considering the problems of over fitting and gradient disappearance in the traditional bi directional long short-term memory (BiLSTM) network, the regularisation ...
Application of improved clustering algorithm in precision poverty auditing - an example from region D
In order to accurately improve the audit of poor households in poverty alleviation projects, as well as the unreasonable parameter setting and low clustering accuracy of clustering analysis algorithm in its application. The study proposes a KLS-DBSCAN ...
Optimisation of UCB algorithm based on cultural content orientation of film and television in the digital era
To improve the effect of the upper confidence bound (UCB) algorithm in the recommendation of online courses of film and television culture, the paper proposes the recommendation method with time-varying Linucb. Firstly, the time-varying Linucb is ...
An application of neural network algorithm model based on improved multi-expression programming in English language education practice
In the field of English education, neural network algorithm can effectively predict and evaluate teaching, and significantly improve the quality of education and teaching. Therefore, a neural network English teaching evaluation prediction model based on ...
Research on text data sentiment analysis algorithm integrating transfer learning and hierarchical attention network
The rapid development of the internet has changed the way people express their opinions and emotions. How to use high-performance sentiment analysis algorithms for practical auxiliary product recommendation and public opinion analysis has become a ...
A study on the development of English reading skills in the MOOC model of English language teaching
This study proposes a personalised intelligent reading resource recommendation method based on MOOC mode. This method uses a deep belief network (DBN) model to extract students' reading interests and other related data features, and uses the K-means ...
Study on active sleeping node detection method in sensor network based on multi-dimensional sliding window
To overcome the problems of low coverage and detection accuracy in traditional detection methods, a multidimensional sliding window based active sleep node detection method for sensor networks is proposed. Firstly, we set up an active sleep node simulator ...
Application research of improved Apriori algorithm in teaching evaluation of mobile platform for elderly education
How to improve the teaching level of elderly education is of great practical significance to the current 'elderly' countries and regions. In this study, we improve the Apriori algorithm to analyse the teaching evaluation data, and test the performance and ...
Research on big data personalised recommendation model based on deep reinforcement learning
In order to mine the user's preference and interest from the user's historical behaviour in the big data to make a personalised recommendation, a DRR model is constructed based on deep reinforcement learning, and the performance of the DRR model is ...
Research on long- and short-term music preference recommendation method integrating music emotional attention
In order to improve the effect of user music personalised recommendation, a hybrid music personalised recommendation model based on attention mechanism and multi-layer LSTM is proposed from the perspective of user music emotion and behaviour data. Using ...
Construction and application of English teachers' intelligent classroom teaching ability training mode integrating MOOC and flipped classroom
Supported by internet technology, the English teaching mode integrating MOOC and flipped classroom is widely welcomed. The commonly used evaluation methods of teaching effect cannot meet the requirements of formative evaluation. Therefore, a teaching ...
Analysis and application of knowledge points in English network course teaching by using PageRank
The research uses PageRank algorithm to calculate the R value of English network teaching knowledge points, and analyses its changes through experiments to give the focus of teaching knowledge points. The results show that learners' enthusiasm for ...
Application of virtual reality and multimedia integration in piano teaching of sound education major in colleges and universities
The research has organically integrated VR and multimedia technology, built a corresponding piano teaching platform, and verified its effectiveness through experiments. The experimental results show that the classification effect, classification accuracy ...
The application and research of double-layer music emotion classification model based on random forest algorithm in digital music
It is urgent to solve the problem of music emotion classification. The stochastic forest algorithm is easy to operate and performs better than other single-layer classification models. Aiming at the problems of feature extraction and classification in ...
