Network Computation in Neural Systems
Latest Publications

TOTAL DOCUMENTS

716

(FIVE YEARS 8)

H-INDEX

(FIVE YEARS 1)

Published By Informa Uk (Taylor & Francis)

1361-6536, 0954-898x

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven

Network Computation in Neural Systems ◽

10.1080/0954898x.2021.2017047 ◽

2022 ◽

pp. 1-27

Author(s):

Majeid Heydari ◽

Saeid Shabanlou ◽

Babak San Ahmadi

Keyword(s):

Simulation Model ◽

Extreme Learning Machine ◽

Shape Factor ◽

Discharge Coefficient ◽

Data Driven ◽

Learning Machine

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A multilayer perceptron neural network approach for the solution of hyperbolic telegraph equations

Network Computation in Neural Systems ◽

10.1080/0954898x.2021.2015005 ◽

2022 ◽

pp. 1-18

Author(s):

Shagun Panghal ◽

Manoj Kumar

Keyword(s):

Neural Network ◽

Multilayer Perceptron ◽

Network Approach ◽

Neural Network Approach ◽

Telegraph Equations

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Solving infinite-horizon optimalcontrol problems of the time-delayedsystems by a feed forward neural network model

Network Computation in Neural Systems ◽

10.1080/0954898x.2021.1884762 ◽

2021 ◽

pp. 1-28

Author(s):

Alireza Nazemi ◽

Ensieh Fayyazi

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Infinite Horizon ◽

Feed Forward Neural Network ◽

Feed Forward

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An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study

Network Computation in Neural Systems ◽

10.1080/0954898x.2020.1849841 ◽

2021 ◽

pp. 1-35

Author(s):

Alireza Goli ◽

Hasan Khademi-Zare ◽

Reza Tavakkoli-Moghaddam ◽

Ahmad Sadeghieh ◽

Mazyar Sasanian ◽

...

Keyword(s):

Artificial Intelligence ◽

Dairy Products ◽

Heuristic Algorithms ◽

Integrated Approach

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Data classification based on fractional order gradient descent with momentum for RBF neural network

Network Computation in Neural Systems ◽

10.1080/0954898x.2020.1849842 ◽

2020 ◽

Vol 31 (1-4) ◽

pp. 166-185

Author(s):

Han Xue ◽

Zheping Shao ◽

Hongbo Sun

Keyword(s):

Neural Network ◽

Fractional Order ◽

Gradient Descent ◽

Rbf Neural Network ◽

Data Classification

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A novel Chebyshev neural network approach for solving singular arbitrary order Lane-Emden equation arising in astrophysics

Network Computation in Neural Systems ◽

10.1080/0954898x.2020.1807636 ◽

2020 ◽

Vol 31 (1-4) ◽

pp. 142-165

Author(s):

Susmita Mall ◽

S. Chakraverty

Keyword(s):

Neural Network ◽

Arbitrary Order ◽

Network Approach ◽

Neural Network Approach ◽

Emden Equation ◽

Chebyshev Neural Network

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The formation and use of hierarchical cognitive maps in the brain: A neural network model

Network Computation in Neural Systems ◽

10.1080/0954898x.2020.1798531 ◽

2020 ◽

Vol 31 (1-4) ◽

pp. 37-141

Author(s):

Henry O C Jordan ◽

Daniel M Navarro ◽

Simon M Stringer

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Cognitive Maps ◽

The Brain

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Modelling monthly mean air temperature using artificial neural network, adaptive neuro-fuzzy inference system and support vector regression methods: A case of study for Turkey

Network Computation in Neural Systems ◽

10.1080/0954898x.2020.1759833 ◽

2020 ◽

Vol 31 (1-4) ◽

pp. 1-36 ◽

Cited By ~ 2

Author(s):

Emre Yakut ◽

Seval Süzülmüş

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Regression ◽

Air Temperature ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Support Vector ◽

Inference System ◽

Regression Methods ◽

Neuro Fuzzy

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Fractional infinite-horizon optimal control problems with a feed forward neural network scheme

Network Computation in Neural Systems ◽

10.1080/0954898x.2019.1688878 ◽

2019 ◽

Vol 30 (1-4) ◽

pp. 125-147 ◽

Cited By ~ 1

Author(s):

Mina Yavari ◽

Alireza Nazemi

Keyword(s):

Neural Network ◽

Optimal Control ◽

Optimal Control Problems ◽

Infinite Horizon ◽

Control Problems ◽

Feed Forward Neural Network ◽

Feed Forward

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A fractional power series neural network for solving a class of fractional optimal control problems with equality and inequality constraints

Network Computation in Neural Systems ◽

10.1080/0954898x.2019.1693647 ◽

2019 ◽

Vol 30 (1-4) ◽

pp. 148-175 ◽

Cited By ~ 2

Author(s):

Safiye Ghasemi ◽

Alireza Nazemi

Keyword(s):

Neural Network ◽

Optimal Control ◽

Power Series ◽

Optimal Control Problems ◽

Fractional Power ◽

Inequality Constraints ◽

Control Problems ◽

Equality And Inequality Constraints ◽

Fractional Optimal Control Problems ◽

Fractional Power Series

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Network Computation in Neural SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Informa Uk (Taylor & Francis)

Evaluation of shape factor impact on discharge coefficient of side orifices using boost simulation model with extreme learning machine data-driven

A multilayer perceptron neural network approach for the solution of hyperbolic telegraph equations

Solving infinite-horizon optimalcontrol problems of the time-delayedsystems by a feed forward neural network model

An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study

Data classification based on fractional order gradient descent with momentum for RBF neural network

A novel Chebyshev neural network approach for solving singular arbitrary order Lane-Emden equation arising in astrophysics

The formation and use of hierarchical cognitive maps in the brain: A neural network model

Modelling monthly mean air temperature using artificial neural network, adaptive neuro-fuzzy inference system and support vector regression methods: A case of study for Turkey

Fractional infinite-horizon optimal control problems with a feed forward neural network scheme

A fractional power series neural network for solving a class of fractional optimal control problems with equality and inequality constraints

Network Computation in Neural Systems
Latest Publications