Importance of feature selection in decision-tree and artificial-neural-network ecological applications. Alburnus alburnus alborella: A practical example

Ecological Informatics ◽

10.1016/j.ecoinf.2010.11.001 ◽

2010 ◽

Author(s):

Tina Tirelli ◽

Daniela Pessani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Decision Tree ◽

Ecological Applications ◽

Artificial Neural

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Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Water Resources Management ◽

10.1007/s11269-021-02818-2 ◽

2021 ◽

Author(s):

Amir Molajou ◽

Vahid Nourani ◽

Abbas Afshar ◽

Mina Khosravi ◽

Adam Brysiewicz

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Feature Selection ◽

Optimal Design ◽

Rainfall Runoff ◽

Runoff Modeling ◽

Artificial Neural

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Hybridized artificial neural network classifiers with a novel feature selection procedure based genetic algorithms and information complexity in credit scoring

Applied Stochastic Models in Business and Industry ◽

10.1002/asmb.2614 ◽

2021 ◽

Author(s):

Damla Ilter ◽

Eylem Deniz ◽

Ozan Kocadagli

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Genetic Algorithms ◽

Feature Selection ◽

Credit Scoring ◽

Selection Procedure ◽

Information Complexity ◽

Artificial Neural ◽

Neural Network Classifiers

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Brazilian Exchange Rates Forecast via Feature Selection and Artificial Neural Network

10.1109/induscon51756.2021.9529564 ◽

2021 ◽

Author(s):

A. A. Carneiro de Freitas ◽

E. F. Sousa ◽

G. V. Oliveira Veras ◽

W. R. N. Santos

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Exchange Rates ◽

Artificial Neural

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Composite Framework of Artificial Neural Network and Decision Tree Algorithm for Prediction of Fraudulent Firm Using Audit Dataset

Rising Threats in Expert Applications and Solutions - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-15-6014-9_64 ◽

2020 ◽

pp. 543-547

Author(s):

Monika Rathore ◽

Shruti Gupta

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Decision Tree ◽

Decision Tree Algorithm ◽

Tree Algorithm ◽

Artificial Neural

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Decision tree performance enhancement using an artificial neural network implementation1 1This work was supported in part by NSF grant IRI-9002087

Artificial Neural Networks and Statistical Pattern Recognition - Old and New Connections - Machine Intelligence and Pattern Recognition ◽

10.1016/b978-0-444-88740-5.50010-4 ◽

1991 ◽

pp. 71-88 ◽

Author(s):

Ishwar K. Sethi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Decision Tree ◽

Performance Enhancement ◽

Artificial Neural ◽

Tree Performance

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Feature selection, artificial neural network prediction and experimental testing for predicting breakage rate of maize kernels based on mechanical properties

Journal of Food Process Engineering ◽

10.1111/jfpe.13621 ◽

2020 ◽

Author(s):

Guoyi Xia ◽

Yang Xu ◽

Yuan Su ◽

Xiaojun Gao ◽

Yibo Li ◽

...

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Artificial Neural Network ◽

Feature Selection ◽

Experimental Testing ◽

Breakage Rate ◽

Neural Network Prediction ◽

Network Prediction ◽

Artificial Neural ◽

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DIAGNOSIS OF SLEEP APNEA USING ARTIFICIAL NEURAL NETWORK AND BINARY PARTICLE SWARM OPTIMIZATION FOR FEATURE SELECTION

CHEST Journal ◽

10.1016/j.chest.2019.08.215 ◽

2019 ◽

Vol 156 (4) ◽

pp. A136

Author(s):

Salim Surani ◽

Alaa Sheta ◽

Hamza Turabieh ◽

Jangwoon Park ◽

Sunil Mathur ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Particle Swarm Optimization ◽

Sleep Apnea ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽

Artificial Neural

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Voltage stability monitoring by artificial neural network using a regression-based feature selection method

Expert Systems with Applications ◽

10.1016/j.eswa.2007.08.059 ◽

2008 ◽

Vol 35 (4) ◽

pp. 1802-1808 ◽

Author(s):

S. Chakrabarti

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Voltage Stability ◽

Feature Selection Method ◽

Selection Method ◽

Stability Monitoring ◽

Artificial Neural

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A flow-injection mass spectrometry fingerprinting scaffold for feature selection and quantitation of Cordyceps and Ganoderma extracts in beverage: a predictive artificial neural network modelling strategy

AMB Express ◽

10.1186/2191-0855-2-43 ◽

2012 ◽

Vol 2 (1) ◽

pp. 43 ◽

Author(s):

Chee Lim ◽

Siew Tai ◽

Sheot Chan

Keyword(s):

Neural Network ◽

Mass Spectrometry ◽

Artificial Neural Network ◽

Feature Selection ◽

Flow Injection ◽

Network Modelling ◽

Neural Network Modelling ◽

Artificial Neural ◽

Artificial Neural Network Modelling

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Attack Detection in Cloud Infrastructures Using Artificial Neural Network with Genetic Feature Selection

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

10.1109/dasc-picom-datacom-cyberscitec.2016.32 ◽

2016 ◽

Author(s):

Sayantan Guha ◽

Stephen S. Yau ◽

Arun Balaji Buduru

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Attack Detection ◽

Genetic Feature ◽

Artificial Neural ◽

Cloud Infrastructures ◽

Genetic Feature Selection

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