Use of Neumann series decomposition to fit the Weighted Euclidean distance and Inner product scoring models in automatic speaker recognition

Currently, the college students majoring in computer-aided design (CAD), a discipline under the department of mechanical engineering, generally have a poor ability to solve engineering problems. Therefore, this paper attempts to design effective training strategies to improve the practical ability of the CAD majors. Firstly, the authors highlighted the promoting effect of the CAD on the practical ability of college students, and summed up the prob-lems of college students in the engineering application of the CAD. On this basis, several strategies were put forward to improve the practical ability of the CAD majors from three aspects: CAD curriculum planning, CAD practi-cal training and CAD platform construction. To verify the effectiveness of the strategies, an index system was established based on information entro-py, and organized into an evaluation model through expert scoring. The strategies and evaluation model provide strong supports to the training of practical ability for the CAD majors.

“…The fuzzy distance between the -th evaluation object and U * with respect ti theth evaluation index [21][22][23][24][25] is:…”

Section: Implementation Of Evaluation Methodsmentioning

confidence: 99%

Training Strategies for Practical Ability of College Students Majoring in Computer-Aided Design

Liu¹

2020

“…In order to effectively deal with the fuzzy and uncertain information in the evaluation process, the evaluation indices were processed according to the fuzzy system theory. For the j-th evaluation index, after all evaluation objects were subject to normalization, the optimal fuzzy value Uj(P) of the j-th evaluation index could be obtained According to the calculation model of fuzzy distance [23][24], for the k-th evaluation object P, the Euclidean distance ( ) between the j-th evaluation index and its corresponding optimal fuzzy value ( ) is: (…”

Section: Fuzzy Evaluation Modelmentioning

confidence: 99%

Fuzzy Evaluation of Physical Education Teaching Quality in Colleges Based on Analytic Hierarchy Process

Xiao-kun

Chen

2021

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.

“…ing that the value of the object P to be evaluated with regard to the i-th evaluation indicator is ( ) P Vi , then the Euclidean distance ( ) d ij of the object P to be evaluated and the j-th gray classical domain with regard to the i-th evaluation indicator is expressed as: [21][22][23] ( )…”

Section: Cultivation Effect Of Autonomous Learning Ability Of Japanes...mentioning

confidence: 99%

A Model for the Influential Factors of the Autonomous Learning Ability of Japanese Majors

Jin

2020

The autonomous learning of Japanese majors is affected by various factors and the learning effect is generally undesirable. To solve the problem, this paper aims to develop a model for the influencing factors of the autonomous learning of Japanese majors. Firstly, the authors explored the problems and influencing factors of autonomous learning of Japanese majors. On this basis, several suggestions were put forward to solve these problems. Next, gray system theory (GST) and analytical hierarchy process (AHP) were adopted to establish the indicator system and the assessment model for the autonomous learning effect of Japanese majors. The proposed model can effectively assess the effect of autonomous learning among Japanese majors, providing a good reference for the learning of minor language among college students.