Results 31 to 40 of about 3,700 (260)
International Journal of Computational Intelligence Systems, 2023 Over the past decades, different classification approaches with different characteristics have been developed to achieve more efficient and accurate results. Although the loss function used in the training procedure is a significant influential factor in
Mehdi Khashei +2 more
doaj +1 more source
Environmental Challenges, 2023 China, India, and the United States consume the most energy and emit the most CO2. According to datacommons.org, India's CO2 emission is 1.80 tnes per capita, which is harmful to living beings: hence, this study exhibits India's harmful CO2 emission ...
Ashok Kumar Nanda +5 more
doaj +1 more source
Efficiency Analysis of Kolmogorov-Arnold Networks for Visual Data Processing
Engineering ProceedingsIn the field of artificial neural networks, the use of multilayer perceptrons (MLPs) has long been a well-established methodology. Recently, the theory of Kolmogorov–Arnold Networks (KANs) has emerged as a potential alternative to multilayer perceptrons,
János Hollósi
doaj +1 more source
Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation
IET Computer Vision, 2022 Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, while others ...
Zheng Fang, Binyu Xiong, Fei Liu
doaj +1 more source
IEEE Open Journal of the Industrial Electronics Society, 2022 A photovoltaic array including several modules in series may show mismatching due to discrepancies among the module conditions, mainly due to partial shadowing.
Michel Piliougine +2 more
doaj +1 more source
IEEE Access, 2022 For the widely used multilayer perceptrons (MLPs), there exist singularities in the parameter space where Fisher information matrix (FIM) degenerates on these subspaces.
Weili Guo, Guangyu Li, Jianfeng Lu
doaj +1 more source
On the capabilities of multilayer perceptrons
Journal of Complexity, 1988 What is the smallest multilayer perceptron able to compute arbitrary and random functions? Previous results show that a net with one hidden layer containing N-1 threshold units is capable of implementing an arbitrary dichotomy of N points. A construction is presented here for implementing an arbitrary dichotomy with one hidden layer containing \(\lceil
openaire +2 more sources
Human-Centric AI for Trustworthy IoT Systems With Explainable Multilayer Perceptrons
IEEE Access, 2019 Internet of Things (IoT) widely use analysis of data with artificial intelligence (AI) techniques in order to learn from user actions, support decisions, track relevant aspects of the user, and notify certain events when appropriate.
Ivan Garcia-Magarino +2 more
doaj +1 more source
Mathematics, 2023 The ability to produce high-resolution climate maps is crucial for assessing climate change impacts and mitigating climate disasters and risks in developing countries.
Yue Han +2 more
doaj +1 more source
Sinusoidal Approximation Theorem for Kolmogorov–Arnold Networks
MathematicsThe Kolmogorov–Arnold representation theorem states that any continuous multivariable function can be exactly represented as a finite superposition of continuous single-variable functions.
Sergei Gleyzer +3 more
doaj +1 more source