AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Uncertainty

Showing 551 to 560 of 667 articles

Clear Filters

Composite learning from adaptive backstepping neural network control.

Neural networks : the official journal of the International Neural Network Society
In existing neural network (NN) learning control methods, the trajectory of NN inputs must be recurrent to satisfy a stringent condition termed persistent excitation (PE) so that NN parameter convergence is obtainable. This paper focuses on command-f...

Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society
In this paper, we aim to tackle the neural robust tracking control problem for a class of nonlinear systems using the adaptive critic technique. The main contribution is that a neural-network-based robust tracking control scheme is established for no...

The rise of artificial intelligence and the uncertain future for physicians.

European journal of internal medicine
Physicians in everyday clinical practice are under pressure to innovate faster than ever because of the rapid, exponential growth in healthcare data. "Big data" refers to extremely large data sets that cannot be analyzed or interpreted using traditio...

History matching through dynamic decision-making.

PloS one
History matching is the process of modifying the uncertain attributes of a reservoir model to reproduce the real reservoir performance. It is a classical reservoir engineering problem and plays an important role in reservoir management since the resu...

Indirect adaptive fuzzy wavelet neural network with self- recurrent consequent part for AC servo system.

ISA transactions
This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent w...

A fuzzy logic-based tool to assess beef cattle ranching sustainability in complex environmental systems.

Journal of environmental management
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. ...

Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties.

Neural networks : the official journal of the International Neural Network Society
This paper addresses the problem of robust stability for quaternion-valued neural networks (QVNNs) with leakage delay, discrete delay and parameter uncertainties. Based on Homeomorphic mapping theorem and Lyapunov theorem, via modulus inequality tech...

A two-stage fuzzy chance-constrained water management model.

Environmental science and pollution research international
In this study, an inexact two-stage fuzzy gradient chance-constrained programming (ITSFGP) method is developed and applied to the water resources management in the Heshui River Basin, Jiangxi Province, China. The optimization model is established by ...

Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the fixed-time synchronization for a class of complex-valued neural networks in the presence of discontinuous activation functions and parameter uncertainties. Fixed-time synchronization not only claims that the considere...

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model.

International journal of environmental research and public health
The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies ...