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Two set theory methods, Interval and Affine Arithmetic, are used together with feedforward neural networks (FNN) in order to study their ability to perform ...
Two set theory methods, Interval and Affine Arithmetic, are used together with feedforward neural networks (FNN) in order to study their ability to perform ...
Two set theory methods, Interval and Affine Arithmetic, are used together with feedforward neural networks (FNN) in order to study their ability to perform ...
... works include Comparative assessment of interval and affine arithmetic in neural network state prediction, Asymptotic formulae for arithmetic functions and more
Two set theory methods, Interval and Affine Arithmetic, are used together with feedforward neural networks (FNN) in order to study their ability to perform ...
In this paper, we propose a combination of interval arithmetic and theorem-proving verification techniques to analyze safety properties in closed-loop systems.
Missing: Comparative | Show results with:Comparative
Comparative assessment of interval and affine arithmetic in neural network state prediction ... interval parameters based on affine arithmetic. ZQ Zhu, JJ ...
Oct 4, 2024 · Using empirical evaluation, we show that Affine Arithmetic gives the best bounds of the neural network output and significantly outperforms ...
Missing: Comparative State
Comparative Assessment of Interval and Affine Arithmetic. 448. Identification of Duffings Equation with Dynamic Recurrent Neural Network. 454. A Novel ...
This paper presents a computationally feasible method to compute rigorous bounds on the interval-generalization of regression analysis.