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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization
Published 2024-01-01“…The error rates can be reduced and the applicability of the model increased, both of which will increase the model’s dependability. Artificial neural networks are commonly trained using the backpropagation approach, also known as backward propagation of mistakes. …”
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Atmospheric Pollutant Flow and Precipitation: Modeling Effects on the Vegetation Ecosystem
Published 2018-12-01“…In this study, we propose a system based on artificial neural networks. Since artificial neural networks have the capacity to treat different complex parameters, their application in this domain is adequate. …”
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Discourseology of Linguistic Consciousness: Neural Network Modeling of some Structural and Semantic Relationships
Published 2021-03-01“…Study of the validity and reliability of the discourse approach for the psycholinguistic understanding of the nature, structure, and features of the linguistic consciousness functioning. Materials & Methods. This paper analyzes artificial neural network models built on the corpus of texts, which were obtained in the process of experimental research of the coronavirus quarantine concept as a new category of linguistic consciousness. …”
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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks
Published 2025-01-01“…Recent research has demonstrated the power of neural networks in approximating continuous functions. …”
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Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm
Published 2018-07-01“…Here, the objective function can be established by using Artificial Neural Networks (ANNs) in conjunction with the muffler’s design parameters and related TLs (simulated by FEM). …”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery
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Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images
Published 2025-08-01“…Our research focuses on the advanced classification of oral ulcer stages using a convolutional neural network (CNN). To evaluate performance comprehensively, we developed and tested three custom models, comparing their effectiveness in distinguishing between different stages of oral ulcers. …”
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Intelligent System of Relay Protection of Electrical Network 6-10 kV with the Implementation of Automatic Correction of the Operation Set Point
Published 2023-08-01“…The most significant result of the study is an example of the implementation of intelligent relay protection using a digital shadow in the form of an artificial neural network. The application of a neural network for approximating the current function of a two-phase short circuit is demonstrated. …”
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Personality predicts internalizing symptoms and quality of life in police cadets: a comparison of artificial intelligence and parametric approaches
Published 2025-07-01“…Here, in two large cohorts of police cadets (n = 1069, 30% women and n = 1377, 35% women) we investigated whether broad personality traits could predict internalizing symptoms (somatization, depression, and anxiety) as well as mental health-related quality of life (MHRQoL). Moreover, we compared seven popular artificial intelligence and linear regression models (Elastic Net, General Linear Model, Lasso Regression, Neural Networks, Random Forests, and Support Vector Regression) in predicting MHRQoL as a function of all other variables. …”
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Tribological Behaviour Analysis of Elastomer-Plastomer Couples in Dry Friction Conditions
Published 2025-03-01“…This layer stands as a lubricant, offering a prolonged life for the parts in contact. Taking into account that the relationship between materials and working conditions cannot be framed into a mathematical equation, artificial neural networks (ANN) are a valid alternative. …”
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Recent advances in deep learning for protein-protein interaction: a review
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach
Published 2024-12-01Get full text
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Models, systems, networks in economics, engineering, nature and society
Published 2024-11-01Article