AIMC Topic: Uncertainty

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Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.

IEEE transactions on neural networks and learning systems Dec 18, 2014
Penetration of renewable energy resources, such as wind and solar power, into power systems significantly increases the uncertainties on system operation, stability, and reliability in smart grids. In this paper, the nonparametric neural network-base...
Humans Neural Networks, Computer Wind Time Factors Computer Simulation Stochastic Processes Uncertainty Decision Making Energy Transfer Statistics, Nonparametric
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Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation.

IEEE transactions on neural networks and learning systems Dec 4, 2014
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain strict-feedback nonlinear systems in the presence of input saturation and unknown external disturbance. The radial basis function neural network (RBFNN) is emp...
Nonlinear Dynamics Uncertainty Humans Computer Simulation Feedback Neural Networks, Computer
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Exploiting uncertainty measures in compounds activity prediction using support vector machines.

Bioorganic & medicinal chemistry letters Nov 7, 2014
The great majority of molecular modeling tasks require the construction of a model that is then used to evaluate new compounds. Although various types of these models exist, at some stage, they all use knowledge about the activity of a given group of...
Rats Forecasting Uncertainty Pharmaceutical Preparations Animals Support Vector Machine Humans Artificial Intelligence
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Approximate N-Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System.

IEEE transactions on neural networks and learning systems Oct 8, 2014
An approximate online equilibrium solution is developed for an N -player nonzero-sum game subject to continuous-time nonlinear unknown dynamics and an infinite horizon quadratic cost. A novel actor-critic-identifier structure is used, wherein a robus...
Nonlinear Dynamics Neural Networks, Computer Least-Squares Analysis Uncertainty Algorithms Signal Processing, Computer-Assisted
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Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori.

IEEE transactions on neural networks and learning systems Sep 25, 2014
This paper addresses the problem of globally stable direct adaptive backstepping neural network (NN) tracking control design for a class of uncertain strict-feedback systems under the assumption that the accuracy of the ultimate tracking error is giv...
Algorithms Computer Simulation Nonlinear Dynamics Uncertainty Feedback Humans Neural Networks, Computer
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Adaptive Output-Feedback Neural Control of Switched Uncertain Nonlinear Systems With Average Dwell Time.

IEEE transactions on neural networks and learning systems Aug 6, 2014
This paper investigates the problem of adaptive neural tracking control via output-feedback for a class of switched uncertain nonlinear systems without the measurements of the system states. The unknown control signals are approximated directly by ne...
Feedback Models, Statistical Algorithms Computer Simulation Uncertainty Nonlinear Dynamics Neural Networks, Computer Normal Distribution
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Show and tell: A critical review on robustness and uncertainty for a more responsible medical AI.

International journal of medical informatics Oct 1, 2025
This critical review explores two interrelated trends: the rapid increase in studies on machine learning (ML) applications within health informatics and the growing concerns about the reproducibility of these applications across different healthcare ...
Machine Learning Reproducibility of Results Humans Artificial Intelligence Uncertainty Decision Support Systems, Clinical Medical Informatics
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Modeling multi-scale uncertainty with evidence integration for reliable polyp segmentation.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Polyp segmentation is critical in medical image analysis. Traditional methods, while capable of producing precise outputs in well-defined regions, often struggle with blurry or ambiguous areas in medical images, which can lead to errors in clinical d...
Humans Algorithms Reproducibility of Results Uncertainty Neural Networks, Computer Polyps Image Processing, Computer-Assisted
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Fixed-time adaptive neural network compensation control for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Uncertainties are the main obstacle to improving the control performance of nonlinear systems. To address this challenge, this paper proposes a fixed-time adaptive neural network compensation control method for a class of high-order nonlinear systems...
Neural Networks, Computer Algorithms Time Factors Nonlinear Dynamics Uncertainty Computer Simulation Feedback
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Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

Environmental research Aug 15, 2025
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainable concrete mixtures that incorporate waste-derived materials. The primary objectives are to reduce global warming potential (GWP) and promote a circul...
Machine Learning Carbon Construction Materials Uncertainty Waste Management Global Warming
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