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Artificial Neural Networks

2016
The present investigation tries to achieve the objective of representation of climatic vulnerability to the hydropower plants by the adaptation of a two step approach. In the first step the Multi Criteria Decision Making was used to identify the priority value of the priority parameters.
Mrinmoy Majumder, Apu K. Saha
openaire   +1 more source

Artificial Neural Networks

2023
K. Worden   +3 more
  +4 more sources

Comprehensive study on applications of artificial neural network in food process modeling

Critical Reviews in Food Science and Nutrition, 2022
Bhagya Raj, Kshirod K Dash
exaly  

Artificial Neural Networks

1998
While the learning systems based on artificial neural networks became popular only in the early eighties, they have a much longer research history and some of these methods have evolved towards quite mature techniques.
openaire   +1 more source

Stability Analysis of the Modified Levenberg–Marquardt Algorithm for the Artificial Neural Network Training

IEEE Transactions on Neural Networks and Learning Systems, 2021
Jose de Jesus Rubio
exaly  

Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach

International Journal of Information Management, 2020
Leong Lai-Ying   +2 more
exaly  

Power-efficient neural network with artificial dendrites

Nature Nanotechnology, 2020
Jianshi Tang, Qingtian Zhang, Bin Gao
exaly  

Artificial intelligence in cancer imaging: Clinical challenges and applications

Ca-A Cancer Journal for Clinicians, 2019
Wenya Linda Bi   +2 more
exaly  

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