AIMC Topic: Astronomy

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Massively parallel WRNN reconstructors for spectrum recovery in astronomical photometrical surveys.

Neural networks : the official journal of the International Neural Network Society Aug 5, 2016
The investigation of solar-like oscillations for probing star interiors has enjoyed a tremendous growth in the last decade. Once observations are over, the most notable difficulties in properly identifying the true oscillation frequencies of stars ar...
Humans Neural Networks, Computer Signal-To-Noise Ratio Photometry Astronomy
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Synchronization of chaotic systems and identification of nonlinear systems by using recurrent hierarchical type-2 fuzzy neural networks.

ISA transactions Apr 29, 2015
This paper proposes a novel approach for training of proposed recurrent hierarchical interval type-2 fuzzy neural networks (RHT2FNN) based on the square-root cubature Kalman filters (SCKF). The SCKF algorithm is used to adjust the premise part of the...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Databases, Factual Computer Simulation Reproducibility of Results Fuzzy Logic Nonlinear Dynamics Astronomy
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Astronomers explore uses for AI-generated images.

Nature Feb 1, 2017
Neural Networks, Computer Software Photography Computer Graphics Astronomy Fraud
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Can we open the black box of AI?

Nature Oct 6, 2016
Humans Neural Networks, Computer Machine Learning Robotics Datasets as Topic Thinking Uncertainty Physics Astronomy Creativity
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