Neural networks : the official journal of the International Neural Network Society
Nov 4, 2023
Supervised learning in deep neural networks is commonly performed using error backpropagation. However, the sequential propagation of errors during the backward pass limits its scalability and applicability to low-powered neuromorphic hardware. There...
Every student has a varied level of mathematical proficiency. Therefore, it is important to provide them with questions accordingly. Owing to advances in technology and artificial intelligence, the Learning Management System (LMS) has become a popula...
Neural networks : the official journal of the International Neural Network Society
Jul 7, 2023
This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple randomized layers to enhance the single-layer RVFL's representation ability. Ea...
Neural networks : the official journal of the International Neural Network Society
May 10, 2023
Distance metric learning has been a promising technology to improve the performance of algorithms related to distance metrics. The existing distance metric learning methods are either based on the class center or the nearest neighbor relationship. In...
This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, Ja...
Environmental science and pollution research international
Jan 4, 2023
Sediment transport is a noteworthy task in the design and operation of sewer pipes. Decreasing sewer pipe hydraulic capacity and transport of pollution are the main consequences of continuous sedimentation. Among different design approaches, the non-...
Computational intelligence and neuroscience
Sep 9, 2022
For the problem of knowledge overload in the process of online learning and the traditional algorithm's poor recommendation accuracy and real-time performance in the massive educational resources, a deep learning-based recommendation model for online...
Journal of environmental and public health
Sep 1, 2022
This paper discusses the structure of psychological well-being education programmes in higher education institutions based on an analysis of the connotation and characteristics of deep learning theory, as well as the background of today's talent trai...
BACKGROUND: Online learning is prevalent among nursing students, but the effect of online learning seems not as good as expected. Deep learning, as a learning approach that could help people solve complex problems and make innovative decisions, is as...
Computational intelligence and neuroscience
Jul 13, 2022
With the development of the times, education presents a new trend, but the teaching characteristics of dance classroom teaching cannot adapt to the current development trend. In this article, the author analyzes modern information technology, hoping ...
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