Using Artificial Neural NetworksPersson, MagnusSivakumar, BellieBerndtsson, RonnyJacobsen, Ole HTo predict, using artificial neural networks, the specific cutting energy for
This paper presents a new approach, based on artificial neural net technology, to identify a preliminary well-test interpretation model from derivative plot data. Artificial neural nets can identify patterns from incomplete and distorted data and also eliminate the need for elaborate data preparation, ...
Artificial neural networks are algorithms that can be used to perform nonlinear statistical modeling and provide a new alternative to logistic regression, the most commonly used method for developing predictive models for dichotomous outcomes in medicine. Neural networks offer a number of advantages, incl...
Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks (https://arxiv.org/abs/1712.03222). This repository is specifically designed forsolving inverse design problems, particularly surrounding photonics and optics.
In this paper, an artificial neural network (ANN) system is presented. The system is trained to detect, isolate and assess faults in some of the components of a single spool gas turbine. The hierarchical diagnostic methodology adopted involves a number of decentralised networks trained to handle ...
This paper presents the optimization of chillers operating using artificial neural networks and genetic algorithms. For the needs of generating chiller models, an artificial neural network was used, trained with data collected from an actual chiller. For that purpose the basic characteristics of artifici...
Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural networks (ANN) and multiple linear regression (MLR). Data of six variables, including areas, productivit...
On the other hand, an artificial neural network is used to construct the prediction model of influencing factors for green development behavior adopted by construction enterprises, which is a new application of this method into the field of the construction industry. In terms of practical ...
Prediction of moving bed biofilm reactor (MBBR) performance for the treatment of aniline using artificial neural networks (ANN) J. Hazard. Mater., 179 (2010), pp. 769-775 View PDFView articleGoogle Scholar Di Trapani et al., 2013 D. Di Trapani, M. Christensson, M. Torregrossa, G. Viv...
A neural architecture for designing truthful and efficient auctions. Preprint at https://arxiv.org/abs/1907.05181 (2019). Weissteiner, J. & Seuken, S. Deep learning-powered iterative combinatorial auctions. In Proc. AAAI Conference on Artificial Intelligence Vol. 34, 2284–2293 (AAAI, 2020)....