A novel clustering method built on random weight artificial neural networks and differential evolution

Differential Evolution ◽

Clustering Method ◽

Random Weight ◽

Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks

Fundamenta Informaticae ◽

10.3233/fi-2019-1764 ◽

2019 ◽

Vol 164 (2-3) ◽

pp. 227-242 ◽

Cited By ~ 2

Author(s):

Tae Jong Choi ◽

Jong-Hyun Lee ◽

Hee Yong Youn ◽

Chang Wook Ahn

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Opposition Based Learning ◽

Adaptive Differential Evolution ◽

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596452 ◽

2010 ◽

Cited By ~ 1

Author(s):

M. Cruz-Ramirez ◽

C. Hervas-Martinez ◽

J. C. Fernandez ◽

J. Sanchez-Monedero

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Statistical Distributions ◽

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm

Neural Computing and Applications ◽

10.1007/s00521-011-0741-0 ◽

2011 ◽

Vol 22 (1) ◽

pp. 11-20 ◽

Cited By ~ 86

Author(s):

Juan Peralta Donate ◽

Xiaodong Li ◽

Germán Gutiérrez Sánchez ◽

Araceli Sanchis de Miguel

Keyword(s):

Neural Networks ◽

Time Series ◽

Genetic Algorithms ◽

Differential Evolution ◽

Time Series Forecasting ◽

Estimation Of Distribution Algorithm ◽

Estimation Of Distribution ◽

Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity

Lecture Notes in Computer Science - Hybrid Artificial Intelligence Systems ◽

10.1007/978-3-642-02319-4_52 ◽

2009 ◽

pp. 433-441 ◽

Cited By ~ 11

Author(s):

Juan Carlos Fernández ◽

César Hervás ◽

Francisco José Martínez ◽

Pedro Antonio Gutiérrez ◽

Manuel Cruz

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Cross Entropy ◽

Lecture Notes in Computer Science - Knowledge-Based Intelligent Information and Engineering Systems ◽

Groundwater Numerical Modeling and Environmental Design Using Artificial Neural Networks and Differential Evolution

10.1007/978-3-540-85565-1_5 ◽

2008 ◽

pp. 34-41

Author(s):

Ioannis K. Nikolos ◽

Maria Stergiadi ◽

Maria P. Papadopoulou ◽

George P. Karatzas

Keyword(s):

Neural Networks ◽

Numerical Modeling ◽

Differential Evolution ◽

Environmental Design ◽

Identification and control of induction motors using artificial neural networks with random weight change training

Proceedings of IEEE. AFRICON '96 ◽

10.1109/afrcon.1996.563001 ◽

2002 ◽

Cited By ~ 3

Author(s):

B. Burton ◽

R.G. Harley ◽

T.G. Habetler

Keyword(s):

Neural Networks ◽

Weight Change ◽

Induction Motors ◽

Random Weight ◽

Artificial Neural ◽

And Control

Training of artificial neural networks using differential evolution algorithm

2008 Conference on Human System Interactions ◽

10.1109/hsi.2008.4581409 ◽

2008 ◽

Cited By ~ 66

Author(s):

Adam Slowik ◽

Michal Bialko

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Differential Evolution Algorithm ◽

Evolution Algorithm ◽

Time Series Prediction by Artificial Neural Networks and Differential Evolution in Distributed Environment

Large-Scale Scientific Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29843-1_22 ◽

2012 ◽

pp. 198-205 ◽

Cited By ~ 4

Author(s):

Todor Balabanov ◽

Iliyan Zankinski ◽

Nina Dobrinkova

Keyword(s):

Neural Networks ◽

Time Series ◽

Differential Evolution ◽

Time Series Prediction ◽

Distributed Environment ◽

Designing artificial neural networks using differential evolution for classifying DNA microarrays

2017 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2017.7969644 ◽

2017 ◽

Cited By ~ 4

Author(s):

Beatriz A. Garro ◽

Katya Rodriguez ◽

Roberto A. Vazquez

Keyword(s):

Neural Networks ◽

Differential Evolution ◽

Dna Microarrays ◽

The Prediction and Valuation of Gas Consumption in Building using Artificial Neural Networks Based on Clustering Method

KIEAE Journal ◽

10.12813/kieae.2018.18.5.069 ◽

2018 ◽

Vol 18 (5) ◽

pp. 69-74 ◽

Cited By ~ 2

Author(s):

Doo-Sung Choi ◽

Ye-Ji Lee ◽

Myeong-Jin Ko

Keyword(s):

Neural Networks ◽

Clustering Method ◽

Gas Consumption ◽