The Selection of Neural Network Input Parameters Based on Association Rules

Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018) ◽

10.2991/cmsa-18.2018.72 ◽

2018 ◽

Author(s):

Lei Shi

Keyword(s):

Neural Network ◽

Association Rules ◽

Input Parameters ◽

Neural Network Input ◽

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Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2013.12.008 ◽

2014 ◽

Vol 31 ◽

pp. 509-519 ◽

Author(s):

Amit Kumar Yadav ◽

Hasmat Malik ◽

S.S. Chandel

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Solar Radiation ◽

Prediction Models ◽

Input Parameters ◽

Artificial Neural ◽

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Selection of Initial Conditions During Neural Network Adjustment — Typical Neural Network Input Signals

Neural Networks Theory ◽

10.1007/978-3-540-48125-6_12 ◽

2007 ◽

pp. 207-222

Keyword(s):

Neural Network ◽

Initial Conditions ◽

Network Adjustment ◽

Input Signals ◽

Neural Network Input ◽

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Impact of Convolutional Neural Network Input Parameters on Classification Performance

2018 4th International Conference for Convergence in Technology (I2CT) ◽

10.1109/i2ct42659.2018.9058213 ◽

2018 ◽

Author(s):

Sanjit Maitra ◽

Rahul Kumar Ojha ◽

Kuntal Ghosh

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Classification Performance ◽

Input Parameters ◽

Neural Network Input

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Selection of Important Input Parameters Using Neural Network Trained with Genetic Algorithm for Damage to Light Structures

Proceedings of the Fifth International Conference on Engineering Computational Technology ◽

10.4203/ccp.84.56 ◽

2009 ◽

Author(s):

N.Y. Osman ◽

A.W.M. Ng ◽

K.J. McManus

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Input Parameters ◽

Important Input ◽

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Selection of most relevant input parameters using WEKA for artificial neural network based concrete compressive strength prediction model

2016 IEEE 7th Power India International Conference (PIICON) ◽

10.1109/poweri.2016.8077368 ◽

2016 ◽

Author(s):

Syed Saad ◽

Mohammed Ishtiyaque ◽

Hasmat Malik

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Compressive Strength ◽

Prediction Model ◽

Strength Prediction ◽

Concrete Compressive Strength ◽

Input Parameters ◽

Artificial Neural ◽

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Selection of most relevant input parameters using weka for artificial neural network based transmission line fault diagnosis model

Proceedings of the International Conference on Nanotechnology for Better Living ◽

10.3850/978-981-09-7519-7nbl16-rps-176 ◽

2016 ◽

Author(s):

Rajneesh Sharma ◽

Aastha Aggarwal ◽

Hasmat Malik

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Diagnosis ◽

Transmission Line ◽

Input Parameters ◽

Diagnosis Model ◽

Artificial Neural ◽

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Selection of the Informative Input Parameters for the Inverse Neural-Network Models of Observed Systems

Journal of Mathematical Sciences ◽

10.1007/s10958-018-3844-7 ◽

2018 ◽

Vol 231 (5) ◽

pp. 678-689

Author(s):

N. І. Obodan ◽

N. А. Guk ◽

A. S. Magas

Keyword(s):

Neural Network ◽

Network Models ◽

Neural Network Models ◽

Input Parameters ◽

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Neural Network Application on Selection of the Best Correlation of Multiphase Flow in Pipes

10.29118/ipa.2446.03.se.004 ◽

2018 ◽

Author(s):

Riko Abdillah

Keyword(s):

Neural Network ◽

Multiphase Flow ◽

Network Application ◽

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Band selection of satellite images using Histogram distribution and Mineral Mapping using Artificial Neural Network

10.35625/cm960127x ◽

2019 ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Satellite Images ◽

Band Selection ◽

Mineral Mapping ◽

Artificial Neural ◽

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Genetic Algorithms Using Neural Network Regression and Group Lasso for Dynamic Selection of Crossover Operators

2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS) ◽

10.1109/scisisis50064.2020.9322697 ◽

2020 ◽

Author(s):

Masaya Kato ◽

Miho Ohsaki ◽

Kei Ohnishi

Keyword(s):

Neural Network ◽

Genetic Algorithms ◽

Group Lasso ◽

Dynamic Selection ◽

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