Results 1 to 10 of about 21,061 (186)
Devising novel performance measures for assessing the behavior of multilayer perceptrons trained on regression tasks. [PDF]
PLoS ONE, 2023 This methodological article is mainly aimed at establishing a bridge between classification and regression tasks, in a frame shaped by performance evaluation.
Giuliano Armano, Andrea Manconi
doaj +2 more sources
Using phidelta diagrams to discover relevant patterns in multilayer perceptrons [PDF]
Scientific Reports, 2020 Understanding the inner behaviour of multilayer perceptrons during and after training is a goal of paramount importance for many researchers worldwide.
Giuliano Armano
doaj +2 more sources
Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation [PDF]
Sensors, 2020 For efficient and effective energy management, accurate energy consumption forecasting is required in energy management systems (EMSs). Recently, several artificial intelligence-based techniques have been proposed for accurate electric load forecasting ...
Seungwon Jung +5 more
doaj +2 more sources
Reconstructing gene regulatory networks of biological function using differential equations of multilayer perceptrons [PDF]
BMC Bioinformatics, 2022 Background Building biological networks with a certain function is a challenge in systems biology. For the functionality of small (less than ten nodes) biological networks, most methods are implemented by exhausting all possible network topological ...
Guo Mao +5 more
doaj +2 more sources
Locomotion Mode Transition Prediction Based on Gait-Event Identification Using Wearable Sensors and Multilayer Perceptrons [PDF]
Sensors, 2021 People walk on different types of terrain daily; for instance, level-ground walking, ramp and stair ascent and descent, and stepping over obstacles are common activities in daily life.
Binbin Su +2 more
doaj +2 more sources
Enhancing crayfish sex identification with Kolmogorov-Arnold networks and stacked autoencoders [PDF]
Scientific ReportsCrayfish play an important role in freshwater ecosystems, and sex classification is crucial for analyzing their demographic structures. This study performed binary classification using traditional machine learning and deep learning models on tabular and ...
Yasin Atilkan +8 more
doaj +2 more sources
Entropy, 2022 Although most list-ranking frameworks are based on multilayer perceptrons (MLP), they still face limitations within the method itself in the field of recommender systems in two respects: (1) MLP suffer from overfitting when dealing with sparse vectors ...
Buchen Wu, Jiwei Qin
doaj +1 more source
Applied Sciences, 2020 In response to the need for an exoskeleton to quickly identify the wearer’s movement mode in the mixed control mode, this paper studies the impact of different feature parameters of the surface electromyography (sEMG) signal on the accuracy of human ...
Jiyuan Song +7 more
doaj +1 more source
Applied Sciences, 2022 Increasing product requirements in the mechanical engineering industry and efforts to reduce time-to-market demand highly accurate and resource-efficient finite element simulations.
Paul Meißner, Tom Hoppe, Thomas Vietor
doaj +1 more source
AI, 2022 In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the principle of locality and ...
Felipe C. Farias +2 more
doaj +1 more source