Results 61 to 70 of about 254,846 (297)

A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction

EAI Endorsed Transactions on Scalable Information Systems, 2016
Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network,
Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen   +5 more
doaj   +1 more source

An efficient design methodology to speed up the FPGA implementation of artificial neural networks

Engineering Science and Technology, an International Journal, 2023
In this paper, we propose and formulate a C++ based training methodology for speeding up the implementation of an Artificial Neural Network (ANN) in a Field Programmable Gate Array (FPGA).
Vineetha K.V., M. Mohit S.K. Reddy, Chinthala Ramesh, Dhanesh G. Kurup   +3 more
doaj   +1 more source

Control issues, artificial neural network (ANN) for acrobot system

EAI Endorsed Transactions on Context-aware Systems and Applications, 2023
Acrobot is a robotic system with several levels of operational states investigated by the author. Due to the limited nature of the investigation under certain ideal conditions, designers have to create some algorithms that control the system most appropriately in a given working environment.
openaire   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

An approach to seizure detection using an artificial neural network (ANN)

Electroencephalography and Clinical Neurophysiology, 1996
We have developed an EEG seizure detector based on an artificial neural network. The input layer of the ANN has 31 nodes quantifying the amplitude, slope, curvature, rhythmicity, and frequency components of EEG in a 2 sec epoch. The hidden layer has 30 nodes and the output layer has 8 nodes representing various patterns of EEG activity (e.g.
W R, Webber, R P, Lesser, R T, Richardson, K, Wilson   +3 more
openaire   +2 more sources

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Learning from a carbon dioxide capture system dataset: Application of the piecewise neural network algorithm

Petroleum, 2017
This paper presents the application of a neural network rule extraction algorithm, called the piece-wise linear artificial neural network or PWL-ANN algorithm, on a carbon capture process system dataset.
Veronica Chan, Christine Chan
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Pattern Synthesis for Linear Phase Arrays using Artificial Neural Network

Journal of Engineering and Sustainable Development, 2007
This paper focuses on the antenna synthesis of uniformly spaced linear phase array using artificial neural network (ANN), and describes the basics of artificial neural network. Chebyshev method is used to compare with this approach.
Sadiq K. Ahmed
doaj  

Comparison of the Experimental and Predicted Data for Thermal Conductivity of Fe3O4/water Nanofluid Using Artificial Neural Networks [PDF]

Nanomedicine Research Journal, 2016
Objective(s): This study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ANN) and correlation using experimental data.
Reza Aghayari, Heydar Maddah, Ali Reza Faramarzi, Hamid Mohammadiun, Mohammad Mohammadiun   +4 more
doaj   +1 more source