Introduction to Neural Networks

Momtazi, Saeedeh; Abbasiantaeb, Zahra

doi:10.1007/978-3-031-16552-8_4

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…According to Mahanta [29], neural networks can handle non-linear and complex relationships in various applications, such as pattern recognition, simulation, classification, and optimization. Ong et al [21] suggested that this algorithm, neural network, may be used to its maximum capability for analyzing variables influencing human behavior.…”

Section: Introductionmentioning

confidence: 99%

Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network

et al. 2023

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The pandemic has caused all of the programs that are offered in primary schools to be interrupted. Evaluating the student’s learning at this level is essential because education development throughout the epidemic is critical, as there was no other educational alternative available during the pandemic. This study examines the use of deep learning neural network (DLNN) to evaluate the parameters influencing primary school students’ online learning experiences during the COVID-19 pandemic. The researchers considered this issue since primary students’ online learning experiences needed more attention. To carefully analyze the relationships between the parameters of primary students’ learning experience, an online questionnaire was utilized, subject to parents’ participation. A total of 385 Filipino elementary school students were selected and surveyed using a purposive sampling method. Participants in this research ranged in age from seven to thirteen and were supervised by their parents or legal guardians. The result of the study showed that open communication, social presence, design and organization, and facilitation had the most impact on predicting students’ experiences with online education, having a high accuracy from DLNN of 96.12%. This demonstrates the significance of open communication, draws attention to the importance of helping students feel welcomed and appreciated, and demonstrates the influence that instructors have on the overall positive learning experiences of their students. Finally, the findings of this study gave a strong framework and clear conclusions that both schools and the government’s education department could use to improve the way primary education is taught online across the country. Finally, the results and findings of this study could be applied and extended to other related education studies worldwide.

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Section: Introductionmentioning

confidence: 99%

Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network

et al. 2023

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Radial basis function neural network for solution of two-dimensional burgers’ equation

Kapoor,

Rawal

2024

Phys. Scr.

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In present research a neural network-based method named as ‘Radial basis function neural network method’ is tested upon two-dimensional Burgers’ equation. For this purpose, five types of the radial basis functions are considered such as; Linear, Cubic, Quintic, Multiquadric, and gaussian. The validation of results is provided via L ∞ error, Mean Square Error, and the Root Mean Square Error. The obtained errors are acceptable from mathematical view point. The graphical compatibility of the results is also tested via the comparison of exact and predicted solutions in the graphs. It is a novel viewpoint to tackle the complex natured mathematical problems. In such method there is no discretization, linearization or quasi-linearization is provided. Therefore, no such scope of error is present. The present method will surely be a major breakthrough to tackle numerous mathematical models.

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Introduction to Neural Networks

Cited by 2 publications

References 11 publications

Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network

Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network

Radial basis function neural network for solution of two-dimensional burgers’ equation

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