Neutron star merger simulations gain new precision with AI-driven r-process heating

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...
IEEE

Integrated Genetic Algorithm and Artificial Neural Network

Abstract: Genetic algorithm is used to randomly search the feasible region in global optimization problems. The search mechanism of genetic algorithm needs multiple iterations to evolve current ...
EurekAlert!

Researchers develop neural network algorithm to enhance gas detection technology

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...
Frontiers

Neuromorphic Computing: From Emerging Materials and Devices to Algorithms and Implementation of Neural Networks Inspired by Brain Neural Mechanism

Neuromorphic computing, which is inspired by brain neural mechanisms and cognitive behavior mechanisms by means of computational modeling, is emerging with the promise of transforming information ...
IEEE

EV Driving Motor Faults diagnosis with BP Neural Network Optimized by Genetic Algorithm

Abstract: This paper presents an effective fault diagnosis algorithm for induction motor used in electric vehicles, which is applicable to motor faults operating in a wide speed range. In this paper, ...
GitHub

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
C&EN

Genetic Algorithms and Machine Learning for Predicting Surface Composition, Structure, and Chemistry: A Historical Perspective and Assessment

Genetic algorithms (GA) and machine learning (ML) have a long history of development and use in chemistry. Recent algorithmic and computational advances, however, have brought these methods to the ...
EurekAlert!

From genes to memes: Algorithm may help scientists demystify complex networks

UNIVERSITY PARK, Pa. -- From biochemical reactions that produce cancers, to the latest memes virally spreading across social media, simple actions can generate complex behaviors. For researchers ...
Science Daily

Shrinking massive neural networks used to model language

Deep learning neural networks can be massive, demanding major computing power. In a test of the 'lottery ticket hypothesis,' researchers have found leaner, more efficient subnetworks hidden within ...
Scientific Research Publishing

Comparing the Area of Data Mining Algorithms in Network Intrusion Detection ()

1 Computer Science and Informatics, Oakland University, Rochester, Michigan, USA. 2 SCR Office, Ministry of Higher Education & Scientific Research/SCR Office, Baghdad, Iraq. 3 Computer Engineering, ...
GitHub

A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor

arXiv: https://arxiv.org/abs/1609.08414 Science and Technology Publications, Lda: http://www.scitepress.org/PublicationsDetail.aspx?ID=%2F+JoYnlE148%3D Please cite ...