On a new method of estimating shear wave velocity from conventional well logs

P Wang, S Peng - Journal of Petroleum Science and Engineering, 2019 - Elsevier
Shear wave velocity is a critical parameter for the characterization of hydrocarbon reservoirs.
Compared with compressional wave velocity which almost exist in every well, shear wave …

[PDF][PDF] Tourism demand forecasting model using neural network

HC Huang, CI Hou - Int. J. Comput. Sci. Inf. Technol, 2017 - academia.edu
Travel agencies should be able to judge the market demand for tourism to develop sales
plans accordingly. However, many travel agencies lack the ability to judge the market …

A hybrid neural network prediction model of air ticket sales

HC Huang - Telkomnika Indonesian Journal of Electrical …, 2013 - journal.esperg.com
Air ticket sales revenue is an important source of revenue for travel agencies, and if future air
ticket sales revenue can be accurately forecast, travel agencies will be able to advance …

Generation of Synthetic Sonic Slowness Logs from Real-Time Drilling Sensors Using Artificial Neural Network

A Abdulraheem - Journal of Energy Resources …, 2022 - asmedigitalcollection.asme.org
The acoustic data in terms of compressional and shear wave velocity provide important
petrophysical information about the rock. The sonic data are a significant input that is …

[PDF][PDF] An exploratory study to detect obesity using free-association task

JY HA - 2024 - researchgate.net
The purpose of this study is to discriminate between obese and normal group using a food
word cue free-association task with practical application. Participants completed a …

Neural network backpropagation with applications into nutrition

A Medina-Santiago, JM Villegas-M… - Innovation in Medicine …, 2018 - Springer
This paper presents the development of a nutritional system using radial basis neural
networks, that is able to provide a clear and simple prediction problems of obesity in children …

[PDF][PDF] Neural Backpropagation System for the Study of Obesity in Childhood

A Medina-Santiago, EM Melgar-Paniagua… - academia.edu
This paper presents the development of a nutritional system using Backpropagation neural
network, that is able to provide a clear and simple prediction problems of obesity in children …

[PDF][PDF] Tourism Demand Forecasting Model Using Neural Network

J Joe - Available at SSRN, 2022 - papers.ssrn.com
TOURISM DEMAND FORECASTING MODEL USING NEURAL NETWORK Page 1 International
Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 2, April 2017 …

[PDF][PDF] Neural Network Backpropagation with Applications into Nutrition

JM Villegas-M, J Ramirez-Torres, NR García-Chong… - 2017 - researchgate.net
The ENSANUT 2006 warning about the risk in which there are more than 4 million children
enter 5 to 11 years, as the combined prevalence of overweight and obesity occurs in one out …

Neural Network Backpropagation with Applications into Nutrition

A Cisneros-Gómez, EM Melgar-Paniagua… - … in Medicine and …, 2017 - books.google.com
This paper presents the development of a nutritional system using radial basis neural
networks, that is able to provide a clear and simple prediction problems of obesity in children …