Results 101 to 110 of about 27,765 (261)
IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY
Advanced Engineering Research, 2011 Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered.
Daniil V. Marshakov, Vladimir A. Fatkhi
doaj
Distance Measurements in UWB-Radio Localization Systems Corrected with a Feedforward Neural Network Model. [PDF]
Sensors (Basel), 2021 Krapež P, Vidmar M, Munih M.
europepmc +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino +3 more
wiley +1 more source
IMPACT OF DEFECTS ON MULTILAYER ARTIFICIAL FEEDFORWARD NEURAL NETWORK OPERABILITY
Вестник Донского государственного технического университета, 2018 Impact of buried layer likely defects on the performance of the multilayer feedforward artificial neural network is investigated. Dimensions of estimation of the correct network operation by pattern recognition are offered.
Daniil V. Marshakov, Vladimir A. Fatkhi
doaj
Applied SciencesLandslides are a common type of geological hazard, characterized by sudden onset, high destructiveness, and frequent occurrence, and are widely distributed in mountainous areas with complex terrain. In recent years, due to extreme weather and intensified
Kuan Li, Yuqiang Sun, Junfu Fan, Ping Li
doaj +1 more source
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder. [PDF]
Nat Commun, 2022 Willsey MS +7 more
europepmc +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Lamarckian training of feedforward neural networks.
, 2001 Living creatures improve their adaptation capabilities to a changing world by means of two orthogonal processes: evolution and lifetime learning. Within Artificial Intelligence, both mechanisms inspired the development of non-orthodox problem solving tools, namely Genetic and Evolutionary Algorithms (GEAs) and Artificial Neural Networks (ANNs). Several
Cortez, Paulo +2 more
openaire +2 more sources
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study develops a financial materiality‐oriented measure of ESG disclosure and examines how sustainability disclosures respond to evolving regulatory frameworks. Focusing on listed food and beverage firms in Japan from 2020 to 2024, we apply the Text Match Pretrained Transformer (TMPT) to assess the semantic relevance between disclosures ...
Siyu Shen +5 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source