By Means of Artificial Neural NetworksNeuner, H
The difference between experimental and predicted outputs is usually quantified by means of an error function similar to those used in statistics. In different research fields, it has been proposed that the performance of a well-designed MLP network is comparable with that achieved using classical ...
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Adversarial training is not the only means of making models adversarially robust. But when examining other sources of robustness, we again found examples where a model’s robustness was not predictive of the recognizability of its metamers. Here, we present results for two models with similar robu...
The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks (ANNs) that can mimic the structural, functional and biological features of human neural networks. Nanophotonics, whi
(Atkinson et al.,2005; Atkinson & Bench-Capon,2007,2016,2021). These could help us to find new, different solutions, that come at a problem from a novel angle. And when evaluating these alternatives, we may choose to formulate the very notion of what ‘successful’ means according to ...
Accordingly, the method of permeability predicting by means of artificial neural network can already guarantee the exactness of overall data and improve the precision of permeability predicting. 展开 关键词: artificial neural net permeability reservoir of sandbody ...
propose a means based on an AI algorithm that allows for the rapid detection of infected cases, as well as risk assessment and evaluation based on symptoms and indicators associated with the novel corona virus. This would be accomplished through a web-based or mobile-based poll. In addition, ...
Chapter 1. Introduction to Artificial Neural Networks Birds inspired us to fly, burdock plants inspired velcro, and nature has inspired many other inventions. It seems only logical, then, to look … - Selection from Neural networks and deep learning [Bo
Evolving medical adaptation of artificial intelligence (AI) proffers the means to investigate nonlinear data relationships, enhance data interpretation, and design more efficient diagnostic and predictive tool10. ANN, an AI method simulating the structure and functionalities of the human neural architecture...