Results 321 to 330 of about 2,469,178 (365)
A model of indoor thermal condition based on traditional acehnese houses using artificial neural network. [PDF]
HeliyonMuslimsyah +5 more
europepmc +1 more source
Prediction of Resilient Modulus Value of Cohesive and Non-Cohesive Soils Using Artificial Neural Network. [PDF]
Materials (Basel)Głuchowski A.
europepmc +1 more source
Simulation of nonlinear strutures with artificial neural networks
, 1996 T.L. Paez
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A Review of Activation Function for Artificial Neural Network
International Symposium on Applied Machine Intelligence and Informatics, 2020The activation function plays an important role in the training and the performance of an Artificial Neural Network. They provide the necessary non-linear properties to any Artificial Neural Network.
Andrinandrasana David Rasamoelina +2 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2020
The Levenberg–Marquardt and Newton are two algorithms that use the Hessian for the artificial neural network learning. In this article, we propose a modified Levenberg–Marquardt algorithm for the artificial neural network learning containing the training
José de Jesús Rubio
semanticscholar +1 more source
The Levenberg–Marquardt and Newton are two algorithms that use the Hessian for the artificial neural network learning. In this article, we propose a modified Levenberg–Marquardt algorithm for the artificial neural network learning containing the training
José de Jesús Rubio
semanticscholar +1 more source
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line
International Journal of Innovative Science and Research TechnologyThis research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN).
Alhassan Musa Oruma +5 more
semanticscholar +1 more source
IEEE Transactions on Smart Grid, 2019
Ever-changing variables in the electricity market require energy management systems (EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest approach being used to accelerate the efficiency and stability of power systems.
Renzhi Lu, S. Hong, Mengmeng Yu
semanticscholar +1 more source
Ever-changing variables in the electricity market require energy management systems (EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest approach being used to accelerate the efficiency and stability of power systems.
Renzhi Lu, S. Hong, Mengmeng Yu
semanticscholar +1 more source
A review of the artificial neural network surrogate modeling in aerodynamic design
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019Artificial neural network surrogate modeling with its economic computational consumption and accurate generalization capabilities offers a feasible approach to aerodynamic design in the field of rapid investigation of design space and optimal solution ...
Gang Sun, Shuyue Wang
semanticscholar +1 more source
Unsupervised Learning Based On Artificial Neural Network: A Review
IEEE International Conference on Cyborg and Bionic Systems, 2018Artificial neural networks (ANN) have been applied effectively in numerous fields for the aim of prediction, knowledge discovery, classification, time series analysis, modeling, etc.
Happiness Ugochi Dike +3 more
semanticscholar +1 more source