Results 1 to 10 of about 27,616 (118)
Comparing feedforward neural networks using independent component analysis on hidden units.
PLoS ONE, 2023 Neural networks are widely used for classification and regression tasks, but they do not always perform well, nor explicitly inform us of the rationale for their predictions.
Seiya Satoh +2 more
doaj +2 more sources
TwIdw—A Novel Method for Feature Extraction from Unstructured Texts
Applied Sciences, 2023 This research proposes a novel technique for fake news classification using natural language processing (NLP) methods. The proposed technique, TwIdw (Term weight–inverse document weight), is used for feature extraction and is based on TfIdf, with the ...
Kitti Szabó Nagy, Jozef Kapusta
doaj +1 more source
Journal of Big Data, 2021 Evaluating the exact first derivative of a feedforward neural network (FFNN) output with respect to the input feature is pivotal for performing the sensitivity analysis of the trained neural network with respect to the inputs.
Ravi Kiran, Dayakar L. Naik
doaj +1 more source
Promet (Zagreb), 2020 In order to improve the accuracy of short-term traffic flow prediction, a combined model composed of artificial neural network optimized by using Genetic Algorithm (GA) and Exponential Smoothing (ES) has been proposed.
Changxi Ma, Limin Tan, Xuecai Xu
doaj +1 more source
Various multistage ensembles for prediction of heating energy consumption [PDF]
Modeling, Identification and Control, 2015 Feedforward neural network models are created for prediction of daily heating energy consumption of a NTNU university campus Gloshaugen using actual measured data for training and testing.
Radisa Jovanovic, Aleksandra Sretenovic
doaj +1 more source
Acta Scientiarum Polonorum. Oeconomia, 2020 The presented research focuses on the construction of a model to effectively forecast demand for connection services – it is thus relevant to the Prediction System (PS) of telecom operators.
Paweł Kaczmarczyk
doaj +1 more source
PLoS Computational Biology, 2021 While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understood ...
Haider Al-Tahan, Yalda Mohsenzadeh
doaj +1 more source
DYNAMIC SYSTEM IDENTIFICATION USING TIME-DELAY FEEDFORWARD NEURAL NETWORKS: APPLICATION TO DC MOTOR
Diyala Journal of Engineering Sciences, 2010 The universal function approximation capabilities of multilayer feedforward neural networks make it a popular choice for modeling dynamic systems.
Ali Khudhair Mutlag
doaj +1 more source
The Journal of Engineering Research, 2020 The advancement of telecommunication technologies has provided us with new promising alternatives for remote diagnosis and possible treatment suggestions for patients of diverse health disorders, among which is the ability to identify Obstructive Sleep ...
Abdulnasir Hossen, Sarah Qasim
doaj +1 more source
Power Optimization Control Scheme for Doubly Fed Induction Generator Used in Wind Turbine Generators
Inventions, 2020 Scientists and researchers are exploring different methods of generating and delivering electrical energy in an economical and reliable way, enabling them to generate electricity focusing on renewable energy resources.
Darya Khan +3 more
doaj +1 more source