Artificial Neural Network and Its Applications in the Energy Sector – An Overview

Babatunde, Damilola Elizabeth; Anozie, Ambrose N.; Omoleye, James

doi:10.32479/ijeep.8691

Cited by 17 publications

(2 citation statements)

References 53 publications

(78 reference statements)

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“…e music talents cultivated by music professional colleges and universities will eventually be employed and developed in the society, and such talent team building is the key content of talent cultivation in colleges and universities, so social participation needs to be integrated into education evaluation, and only in this way can we ensure that the final evaluation content is more accurate and objective. e establishment of assessment system by means of intermediary assessment is a key element in line with the development direction of national higher education assessment [14]. e intermediary assessment system can not only make the final assessment results more scientific and effective, but also avoid the present assessment problems and effectively carry out the improvement and optimization of the assessment mode.…”

Section: University Music Education Evaluationmentioning

confidence: 99%

Design and Application of Machine Learning-Based Evaluation for University Music Teaching

Xia

2022

Mathematical Problems in Engineering

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Teaching evaluation (TE) is an operational means of music education and management, a value judgment on university-related music teaching activities, with the fundamental purpose of promoting and improving the overall development of the cultivated subjects. With the deepening of quality education, the types and contents of music teaching evaluation (MTE) are being updated and changed, and many universities are gradually introducing music classroom teaching quality evaluation systems. Teaching quality evaluation plays an important role in the development of music teaching and affects the quality of educational evaluation, and is an important guarantee for the continuous reform and development of university music teaching (UMT), as well as an important means for scientific and reasonable management of schools, which plays an irreplaceable role in the development of schools. The evaluation of the quality of university music classroom teaching is a systematic process of analyzing and evaluating the teaching programs, teaching effects, and teaching processes of the music classroom within the school, which is conducive to improving the quality of university music classroom teaching. This article will focus on the overview of university music classroom teaching quality evaluation, analyze its main problems and causes, develop effective improvement measures to solve them, and build a machine learning (ML)-based UMT quality evaluation system. The model quantifies the concept of MTE indexes into definite data as the input of the network, and the comprehensive evaluation results as the output. The method overcomes the subjective factors of the evaluation subject in the evaluation process, but also obtains satisfactory evaluation results with wide applicability.

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Section: University Music Education Evaluationmentioning

confidence: 99%

Design and Application of Machine Learning-Based Evaluation for University Music Teaching

Xia

2022

Mathematical Problems in Engineering

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“…It is suggested that the interaction towards finding the solution is based on a familiarization process called training. Later in 1958, psychologist, Frank Rosenblatt presents the first artificial neural network called perceptron [49].…”

Section: Neural Network Approach On Solar Radiation Prediction Model Developmentmentioning

confidence: 99%

Gis-Aided Geographical and Meteorological Data Overview of Solar Radiation Mapping for Malaysia – An Explanatory Study Based on Solar Radiation Prediction Modeling Using Neural Network Approach

2021

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Solar radiation mapping has used geographical and meteorological data. To obtain geographical and meteorological data, a Geographic Information System (GIS) is required. GIS is defined as an integrated geographic resource that presents data in terms of spatial information. This data is important for Neural Networks as it will be used as input parameters for the development of solar radiation prediction models. Solar radiation prediction is one way to map the sun's rays in certain places where there are insufficient resources or space to build a complete solar radiation measurement station. Since predictions about solar radiation require meteorological and geographical data, this paper will give an overview of GIS-assisted geographical and meteorological data to be used as input parameters for solar radiation mapping which will eventually be used as input for prediction models developed for the whole country of Malaysia using Neural Networks. Based on the results, the prediction model developed managed to obtain a coefficient of determination, R2 value of 0.9329.

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Bioinoculants development for sustainable agriculture by innovative optimization processes: a future roadmap to commercialization

Chaudhary¹,

Shukla²

2023

Microbial Bioprocesses

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Artificial Neural Network and Its Applications in the Energy Sector – An Overview

Cited by 17 publications

References 53 publications

Design and Application of Machine Learning-Based Evaluation for University Music Teaching

Design and Application of Machine Learning-Based Evaluation for University Music Teaching

Gis-Aided Geographical and Meteorological Data Overview of Solar Radiation Mapping for Malaysia – An Explanatory Study Based on Solar Radiation Prediction Modeling Using Neural Network Approach

Bioinoculants development for sustainable agriculture by innovative optimization processes: a future roadmap to commercialization

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