AIMC Topic: Uncertainty

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Robust fixed-time synchronization of delayed Cohen-Grossberg neural networks.

Neural networks : the official journal of the International Neural Network Society
The fixed-time master-slave synchronization of Cohen-Grossberg neural networks with parameter uncertainties and time-varying delays is investigated. Compared with finite-time synchronization where the convergence time relies on the initial synchroniz...

Containment control of networked autonomous underwater vehicles: A predictor-based neural DSC design.

ISA transactions
This paper investigates the containment control problem of networked autonomous underwater vehicles in the presence of model uncertainty and unknown ocean disturbances. A predictor-based neural dynamic surface control design method is presented to de...

Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.

PloS one
This paper investigates a method to identify uncertain system parameters and unknown topological structure in general complex networks with or without time delay. A complex network, which has uncertain topology and unknown parameters, is designed as ...

New passivity criteria for memristive uncertain neural networks with leakage and time-varying delays.

ISA transactions
In this paper, the problem of passivity analysis is studied for memristor-based uncertain neural networks with leakage and time-varying delays. By combining differential inclusions with set-valued maps, the system of memristive neural networks is cha...

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Artificial intelligence in medicine
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...

Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network.

Computational intelligence and neuroscience
An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-term x(t + 6). The performance predi...

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes.

Artificial intelligence in medicine
BACKGROUND: Over the past 30 years, the international conference on Artificial Intelligence in MEdicine (AIME) has been organized at different venues across Europe every 2 years, establishing a forum for scientific exchange and creating an active res...

Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.

Science (New York, N.Y.)
After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intellig...

Robustness analysis of uncertain dynamical neural networks with multiple time delays.

Neural networks : the official journal of the International Neural Network Society
This paper studies the problem of global robust asymptotic stability of the equilibrium point for the class of dynamical neural networks with multiple time delays with respect to the class of slope-bounded activation functions and in the presence of ...