The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

The computer programs designed for music creation are analyzed to integrate computer software into music creation. Then a computer program utilizing JavaScript is introduced, including the theoretical basis of JavaScript, the identifiers, and the basic syntax. Finally, the characteristics of JavaScripts in Max software are studied, and JazzB JavaScript objects are used to program and analyze the morphological changes of the rhythm structure of jazz. The results show that the designed jazzy structure includes many jazz instruments such as the piano, the guitar, the bass, and the saxophone; the rhythm of the melody varies five times, from 128 beats per minute in the beginning to 132 beats per minute in the end. In the whole melody, electro-acoustic instruments account for 62.5%, acoustic instruments account for 25%, and synthetic instruments account for 12.5%. Hence, the contents of the music is enriched and condensed, while its texture is also ensured. The accuracy of JavaScript has reached the last 5 decimal places and the running speed is Millisecond (105ms), which is more powerful than other programming languages. When using it for the design of music structure, it can have a better use experience, which is of great significance in promoting music design.

In order to realize the quantitative management of the quality of higher education, this paper puts forward an evaluation model of auxiliary employability of special people under the concept of public employment service based on AHP-FUZZY algorithm. The phase space distribution structure model of special people’s auxiliary employability under the concept of public employment service is constructed, the index parameter set of special people’s auxiliary employability under the concept of public employment service is established, the fuzzy association rule distribution set is constructed by principal component analysis and fuzzy parameter estimation, and the association rule characteristic quantity of special people’s auxiliary employability under the concept of public employment service is extracted. Advanced statistical analysis methods, such as principal component analysis, big data fusion analysis and fuzzy detection model, are adopted to classify the multi-dimensional attribute features of special people’s auxiliary employability under the concept of public employment service, and the data is partitioned and scheduled in the fuzzy clustering center according to the differences of statistical feature parameters of employability analysis reports, and the feature decomposition model of special people’s auxiliary employability under the concept of public employment service is constructed. The auxiliary employability of special people under the concept of public employment service is fused by blocks and the regional structural parameters are reorganized. The binary structural characteristics of auxiliary employability analysis of special people under the concept of public employment service are reconstructed in the subspace fusion database. According to the reconstruction results, fuzzy clustering is carried out under principal component analysis and fuzzy parameter estimation, and the optimal evaluation of auxiliary employability of special people under the concept of public employment service is realized. Based on SPSS statistical analysis software and Matlab simulation tool, the empirical simulation analysis of the evaluation shows that the characteristic clustering of the evaluation of the auxiliary employability of special population under the concept of public employment service is good, the reliability of the evaluation is high, and the parameter analysis of the evaluation index of the auxiliary employability of special population is accurate and reliable.

cIn order to realize the optimal distribution of university management power under the overall planning and scheduling mode, an evaluation model of university management power distribution balance based on analytic hierarchy process (AHP) is put forward, and a method based on the integration of Internet thinking and technology, a sampling model of characteristic information of university management power distribution balance under the overall planning and scheduling mode, According to the quantitative recursive analysis results of the sample data of university management power distribution balance under the overall planning and scheduling mode, the information fusion of university management power distribution under the overall planning and scheduling mode is carried out, the association rule fusion characteristic distribution parameter set of the panel data of university management power distribution balance under the overall planning and scheduling mode is extracted, and the data fusion of university management power distribution balance under the overall planning and scheduling mode is carried out by combining the joint statistical probability density distribution detection method. Combined with the piecewise linear estimation method, this paper constructs the statistical characteristics of the equilibrium evaluation of university management power distribution under the overall planning and scheduling mode, analyzes the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode according to the quantitative recursive analysis results of prior samples, extracts the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode, and clusters the information of the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode by structural characteristics extraction and fusion clustering methods. According to the results of distributed integration of features, it evaluates the balance of management power distribution in colleges and universities under the overall planning and scheduling mode. The simulation results show that this method has high accuracy and good confidence in evaluating the balance of management power distribution in colleges and universities under the overall planning and scheduling mode, and improves the ability of managing and controlling the balance of management power distribution in colleges and universities under the overall planning and scheduling mode.

cIn order to realize the optimal distribution of university management power under the overall planning and scheduling mode, an evaluation model of university management power distribution balance based on analytic hierarchy process (AHP) is put forward, and a method based on the integration of Internet thinking and technology, a sampling model of characteristic information of university management power distribution balance under the overall planning and scheduling mode, According to the quantitative recursive analysis results of the sample data of university management power distribution balance under the overall planning and scheduling mode, the information fusion of university management power distribution under the overall planning and scheduling mode is carried out, the association rule fusion characteristic distribution parameter set of the panel data of university management power distribution balance under the overall planning and scheduling mode is extracted, and the data fusion of university management power distribution balance under the overall planning and scheduling mode is carried out by combining the joint statistical probability density distribution detection method. Combined with the piecewise linear estimation method, this paper constructs the statistical characteristics of the equilibrium evaluation of university management power distribution under the overall planning and scheduling mode, analyzes the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode according to the quantitative recursive analysis results of prior samples, extracts the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode, and clusters the information of the equilibrium characteristics of university management power distribution under the overall planning and scheduling mode by structural characteristics extraction and fusion clustering methods. According to the results of distributed integration of features, it evaluates the balance of management power distribution in colleges and universities under the overall planning and scheduling mode. The simulation results show that this method has high accuracy and good confidence in evaluating the balance of management power distribution in colleges and universities under the overall planning and scheduling mode, and improves the ability of managing and controlling the balance of management power distribution in colleges and universities under the overall planning and scheduling mode.

To enhance the effectiveness of network-based multimedia English education, this study proposes a new teaching model integrating learning motivation theory and constructivism. The model’s design is based on the analysis of statistical features from the parameters of network multimedia English teaching, utilizing learning motivation and constructivism as foundational theories. Additionally, the model incorporates deep learning techniques and intelligent datasets rooted in mathematical logic. By constructing both a network multimedia English teaching dataset and a multimedia teaching resource access dataset, the model applies structural similarity analysis to evaluate these datasets under the influence of learning motivation and constructivism. This paper further investigates the various constraints and objectives faced by students and courses in the context of network-based multimedia English education. The optimization of the teaching algorithm is realized within this framework, aiming to improve efficiency and learner engagement. Simulation results demonstrate that the proposed method offers robust resource matching capabilities with minimal deviation, contributing to enhanced student satisfaction. Moreover, it supports users in the excavation and strategic planning of network-based multimedia English education.

To enhance the effectiveness of network-based multimedia English education, this study proposes a new teaching model integrating learning motivation theory and constructivism. The model’s design is based on the analysis of statistical features from the parameters of network multimedia English teaching, utilizing learning motivation and constructivism as foundational theories. Additionally, the model incorporates deep learning techniques and intelligent datasets rooted in mathematical logic. By constructing both a network multimedia English teaching dataset and a multimedia teaching resource access dataset, the model applies structural similarity analysis to evaluate these datasets under the influence of learning motivation and constructivism. This paper further investigates the various constraints and objectives faced by students and courses in the context of network-based multimedia English education. The optimization of the teaching algorithm is realized within this framework, aiming to improve efficiency and learner engagement. Simulation results demonstrate that the proposed method offers robust resource matching capabilities with minimal deviation, contributing to enhanced student satisfaction. Moreover, it supports users in the excavation and strategic planning of network-based multimedia English education.

To enhance the effectiveness of network-based multimedia English education, this study proposes a new teaching model integrating learning motivation theory and constructivism. The model’s design is based on the analysis of statistical features from the parameters of network multimedia English teaching, utilizing learning motivation and constructivism as foundational theories. Additionally, the model incorporates deep learning techniques and intelligent datasets rooted in mathematical logic. By constructing both a network multimedia English teaching dataset and a multimedia teaching resource access dataset, the model applies structural similarity analysis to evaluate these datasets under the influence of learning motivation and constructivism. This paper further investigates the various constraints and objectives faced by students and courses in the context of network-based multimedia English education. The optimization of the teaching algorithm is realized within this framework, aiming to improve efficiency and learner engagement. Simulation results demonstrate that the proposed method offers robust resource matching capabilities with minimal deviation, contributing to enhanced student satisfaction. Moreover, it supports users in the excavation and strategic planning of network-based multimedia English education.