AIMC Topic: Neural Networks, Computer

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Resonance prediction and inverse design of multi-core selective couplers based on neural networks.

Applied optics
Resonance analysis and structural optimization of multi-channel selective fiber couplers currently rely on numerical simulation and manual trial and error, which is very repetitive and time consuming. To realize fast and accurate resonance analysis a...

Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural networks (ANNs) have exploited biological properties to solve complex problems. However, despite their effectiveness for specific tasks, ANNs are yet to real...

Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials.

Physical review letters
Combinatorial problems arising in puzzles, origami, and (meta)material design have rare sets of solutions, which define complex and sharply delineated boundaries in configuration space. These boundaries are difficult to capture with conventional stat...

learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data.

G3 (Bethesda, Md.)
We introduce the R-package learnMET, developed as a flexible framework to enable a collection of analyses on multi-environment trial breeding data with machine learning-based models. learnMET allows the combination of genomic information with environ...

Assessing Human Mobility by Constructing a Skeletal Database and Augmenting it Using a Generative Adversarial Network (GAN) Simulator.

Studies in health technology and informatics
This paper presents a neural network simulator based on anonymized patient motions that measures, categorizes, and infers human gestures based on a library of anonymized patient motions. There is a need for a sufficient training set for deep learning...

Polarized light compass decoding.

Applied optics
The brains of some insects can encode and decode polarization information and obtain heading angle information. Referring to the encoding ability of insects, exponential function encoding is designed to improve the stability of the polarized light co...

Application of attention-DnCNN for ESPI fringe patterns denoising.

Journal of the Optical Society of America. A, Optics, image science, and vision
Fringe patterns' denoising in electronic speckle pattern interferometry (ESPI) is an important step in phase extraction. In this study, we propose a new denoising method for ESPI fringe patterns based on a convolutional neural network (CNN). The prop...

Measurement method of aero-engine rotor concentricity and perpendicularity based on deep belief neural network.

The Review of scientific instruments
When implementing the traditional assembly method, the rotor is affected by machining errors. The morphology of the rotor is complex, and the machining error of the rotors at all levels are transmitted step by step through the stop mating surface, wh...

Spherical harmonics domain-based approach for source localization in presence of directional interference.

JASA express letters
This paper presents a learning-based method for source localization in the presence of directional interference under reverberant and noisy conditions. The proposed method operates on the spherical harmonic decomposition of the spherical microphone a...

Key role of neuronal diversity in structured reservoir computing.

Chaos (Woodbury, N.Y.)
Chaotic time series have been captured by reservoir computing models composed of a recurrent neural network whose output weights are trained in a supervised manner. These models, however, are typically limited to randomly connected networks of homoge...