WSRPS: A Weaning Success Rate Prediction System Based on Artificial Neural Network Algorithms

2008 ◽  
pp. 89-103
Author(s):  
Austin H. Chen ◽  
Guan Ting Chen
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Success Rate ◽  
Prediction System ◽  
Network Algorithms ◽  
Rate Prediction ◽  
Artificial Neural

An intelligent heart disease prediction system based on swarm-artificial neural network

2021 ◽  
Author(s):  
Sudarshan Nandy ◽  
Mainak Adhikari ◽  
Venki Balasubramanian ◽  
Varun G. Menon ◽  
Xingwang Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Heart Disease ◽  
Disease Prediction ◽  
Prediction System ◽  
Artificial Neural

A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network

2021 ◽  
pp. 2150168
Author(s):  
Hasan Özdoğan ◽  
Yiğit Ali Üncü ◽  
Mert Şekerci ◽  
Abdullah Kaplan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Cross Sections ◽  
Reaction Cross ◽  
Forward Algorithm ◽  
Network Algorithms ◽  
Analytical Formulas ◽  
Artificial Neural ◽  
Semi Empirical ◽  
Reaction Cross Sections

In this paper, calculations of the [Formula: see text] reaction cross-sections at 14.5 MeV have been presented by utilizing artificial neural network algorithms (ANNs). The systematics are based on the account for the non-equilibrium reaction mechanism and the corresponding analytical formulas of the pre-equilibrium exciton model. Experimental results, obtained from the EXFOR database, have been used to train the ANN with the Levenberg–Marquardt (LM) algorithm which is a feed-forward algorithm and is considered one of the well-known and most effective methods in neural networks. The Regression [Formula: see text] values for the ANN estimation have been determined as 0.9998, 0.9927 and 0.9895 for training, testing and for all process. The [Formula: see text] reaction cross-sections have been reproduced with the TALYS 1.95 and the EMPIRE 3.2 codes. In summary, it has been demonstrated that the ANN algorithms can be used to calculate the [Formula: see text] reaction cross-section with the semi-empirical systematics.

scholarly journals Research Article Genome-wide classification of dairy cows using decision trees and artificial neural network algorithms

2019 ◽  
Vol 18 (4) ◽  
Author(s):  
E. Rodríguez ◽  
J. Waissman ◽  
P. Mahadevan ◽  
C. Villa ◽  
B.L. Flores ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dairy Cows ◽  
Decision Trees ◽  
Network Algorithms ◽  
Research Article ◽  
Genome Wide ◽  
Artificial Neural
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