Results 41 to 50 of about 227,775 (119)

Implementing artificial neural networks through bionic construction.

PLoS ONE, 2019
It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning.
Hu He, Xu Yang, Zhiheng Xu, Ning Deng, Yingjie Shang, Guo Liu, Mengyao Ji, Wenhao Zheng, Jinfeng Zhao, Liya Dong   +9 more
doaj   +1 more source

Artificial Neural Network Based Mppt Algorithm for Modern Household with Electric Vehicle

Communications, 2022
This paper deals with implementation of artificial neural network in the maximum power point tracking (MPPT) controller algorithm for modern household where electric vehicle (EV) was purchased. The proposed MPPT algorithm was designed to achieve the best
Ján Morgoš, Peter Klčo, Karol Hrudkay
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Applications of artificial neural networks for enhanced livestock productivity: A review

Indian Journal of Animal Sciences, 2016
Artificial neural network models are machine-learning systems, a type of artificial intelligence. They have been inspired by and developed along the working principles of the human brain and its nerve cells.
V B DONGRE, R S GANDHI
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Learning pairing symmetries in disordered superconductors using spin-polarized local density of states

New Journal of Physics, 2020
We construct an artificial neural network to study the pairing symmetries in disordered superconductors. For Hamiltonians on square lattice with s-wave, d-wave, and nematic pairing potentials, we use the spin-polarized local density of states near a ...
Liang Chen, Chen-Xi Wang, Rong-Sheng Han, Ye-Qi Zhang   +3 more
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An approach based on gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials [PDF]

Nuclear Technology and Radiation Protection
This paper presents an approach based on the gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials in flat sheet form.
Trang Le Thi Ngoc, Linh Nguyen Thi Truc, Thanh Tran Thien, Tam Hoang Duc, Chuong Huynh Dinh   +4 more
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Estimation of Monthly Mean Reference Evapotranspiration by Using Artificial Neural Network Models in Basrah City, South of Iraq

Iraqi Journal of Civil Engineering, 2020
The main objective of this study is to evaluate the comparative performance of three artificial neural network techniques (radial basis functions RBF, multilayer perceptron MLP, and group method of data handling GMDH) based approach with the Penman ...
Ali H. Al-Aboodi, Ayman A. Hassan, Husham T. Ibrahim   +2 more
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR

Acta Polytechnica CTU Proceedings, 2017
This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly
Martin Ruzek
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Strategies for land use and ecological restoration around highways under improved neural networks

Discover Artificial Intelligence
The unchecked development of highway is causing extensive ecological disturbance such as habitat fragmentation, landscapes degradation and biodiversity loss.
Qian Zhou, Li Xu
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Practical Approach to Studying Evolutionary Methods for Setting Weight Coefficients of Artificial Neural Networks

Цифровая трансформация
The article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling
D. O. Petrov
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