Prediction model of artificial neural network for the risk of hyperuricemia incorporating dietary risk factors in a Chinese adult study

Food & Nutrition Research ◽

10.29219/fnr.v64.3712 ◽

2020 ◽

Vol 64 (0) ◽

Author(s):

Jie Zeng ◽

Junguo Zhang ◽

Ziyi Li ◽

Tianwang Li ◽

Guowei Li

Keyword(s):

Neural Network ◽

Risk Factors ◽

Artificial Neural Network ◽

Prediction Model ◽

Adult Study ◽

Chinese Adult ◽

Dietary Risk Factors ◽

Dietary Risk ◽

Artificial Neural

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An artificial neural network prediction model of congenital heart disease based on risk factors

Medicine ◽

10.1097/md.0000000000006090 ◽

2017 ◽

Vol 96 (6) ◽

pp. e6090 ◽

Author(s):

Huixia Li ◽

Miyang Luo ◽

Jianfei Zheng ◽

Jiayou Luo ◽

Rong Zeng ◽

...

Keyword(s):

Neural Network ◽

Risk Factors ◽

Artificial Neural Network ◽

Congenital Heart Disease ◽

Heart Disease ◽

Prediction Model ◽

Congenital Heart ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural

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Plant growth prediction model for lettuce (Lactuca sativa.) in plant factories using artificial neural network

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/733/1/012027 ◽

2021 ◽

Vol 733 (1) ◽

pp. 012027

Author(s):

A Rizkiana ◽

A P Nugroho ◽

N M Salma ◽

S Afif ◽

R E Masithoh ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Plant Growth ◽

Prediction Model ◽

Lactuca Sativa ◽

Growth Prediction ◽

Artificial Neural

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Occurrence and risk factors of brucellosis among domestic animals: an artificial neural network approach

Tropical Animal Health and Production ◽

10.1007/s11250-022-03076-z ◽

2022 ◽

Vol 54 (1) ◽

Author(s):

Majid ZareBidaki ◽

Elaheh Allahyari ◽

Tayebeh Zeinali ◽

Mohamad Asgharzadeh

Keyword(s):

Neural Network ◽

Risk Factors ◽

Artificial Neural Network ◽

Domestic Animals ◽

Network Approach ◽

Neural Network Approach ◽

Artificial Neural ◽

Artificial Neural Network Approach

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Flood Disaster Prediction Model Based on Artificial Neural Network: A Case Study of Kuala Kangsar, Perak

Improving Flood Management, Prediction and Monitoring - Community, Environment and Disaster Risk Management ◽

10.1108/s2040-726220180000020018 ◽

2018 ◽

pp. 103-112 ◽

Author(s):

Nurul Syarafina Shahrir ◽

Norulhusna Ahmad ◽

Robiah Ahmad ◽

Rudzidatul Akmam Dziyauddin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Prediction Model ◽

Flood Disaster ◽

Model Based ◽

Artificial Neural ◽

Disaster Prediction

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A Performance Prediction Model for Continuously Reinforced Concrete Pavement Using Artificial Neural Network

Lecture Notes in Civil Engineering - Proceedings of the 9th International Conference on Maintenance and Rehabilitation of Pavements—Mairepav9 ◽

10.1007/978-3-030-48679-2_72 ◽

2020 ◽

pp. 771-782

Author(s):

Hakan Yasarer ◽

Mohammad Najmush Sakib Oyan ◽

Yacoub Najjar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Reinforced Concrete ◽

Prediction Model ◽

Performance Prediction ◽

Concrete Pavement ◽

Artificial Neural ◽

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A time series based prediction model for urban development plans using an Artificial Neural Network: Koya in 2020

First International Symposium on Urban Development: Koya as a Case Study ◽

10.2495/isud130331 ◽

2013 ◽

Author(s):

S. M. Abdullah

Keyword(s):

Neural Network ◽

Time Series ◽

Artificial Neural Network ◽

Urban Development ◽

Prediction Model ◽

Development Plans ◽

Artificial Neural

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Artificial Neural Network Based Prediction Model of the Sliding Mode Control in Coordinating Two Robot Manipulators

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-05476-6_48 ◽

2014 ◽

pp. 474-483 ◽

Author(s):

Parvaneh Esmaili ◽

Habibollah Haron

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Sliding Mode Control ◽

Prediction Model ◽

Sliding Mode ◽

Robot Manipulators ◽

Mode Control ◽

Artificial Neural

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Influence of Wind Speed on Solar PV Plant Power Production—Prediction Model Using Decision-Based Artificial Neural Network

Advances in Intelligent Systems and Computing - Advances in Computational Intelligence and Communication Technology ◽

10.1007/978-981-15-1275-9_1 ◽

2020 ◽

pp. 3-16

Author(s):

Roshan Mohanty ◽

Paresh G. Kale

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Prediction Model ◽

Power Production ◽

Solar Pv ◽

Artificial Neural ◽

Plant Power ◽

Production Prediction

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Pressure prediction model based on artificial neural network optimized by genetic algorithm and its application in quasi-static calibration of piezoelectric high-pressure sensor

Review of Scientific Instruments ◽

10.1063/1.4972826 ◽

2016 ◽

Vol 87 (12) ◽

pp. 125005 ◽

Author(s):

Tingwei Gu ◽

Deren Kong ◽

Jian Jiang ◽

Fei Shang ◽

Jing Chen

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

High Pressure ◽

Prediction Model ◽

Pressure Sensor ◽

Static Calibration ◽

Model Based ◽

Artificial Neural

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A Prediction Model of Deflection of Fixing Thin Parts

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.217-219.1526 ◽

2012 ◽

Vol 217-219 ◽

pp. 1526-1529

Author(s):

Yu Mei Liu ◽

Wen Ping Liu ◽

Zhao Liang Jiang ◽

Zhi Li

Keyword(s):

Neural Network ◽

Experimental Data ◽

Artificial Neural Network ◽

Prediction Model ◽

Simulated Data ◽

Artificial Neural ◽

Predicted Values ◽

Artificial Neural Network Ann ◽

Abaqus Software

A prediction model of deflection is presented. The Artificial Neural Network (ANN) is adopted, and ANN establishes the mapping relation between the clamping forces and the position of fixing and the value of deflection. The results of simulation of Abaqus software is used for Training and querying an ANN. The predicted values are in agreement with simulated data and experimental data.

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