Artificial bee colony based learning of local linear neuro-fuzzy models

2013 13th Iranian Conference on Fuzzy Systems (IFSC) ◽

10.1109/ifsc.2013.6675663 ◽

2013 ◽

Author(s):

Alireza Nikookar ◽

Caro Lucas ◽

Mir Mohsen Pedram

Keyword(s):

Artificial Bee Colony ◽

Fuzzy Models ◽

Local Linear ◽

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Dynamic Local Linear Neuro-Fuzzy Models

Nonlinear System Identification ◽

10.1007/978-3-030-47439-3_22 ◽

2020 ◽

pp. 919-970

Author(s):

Oliver Nelles

Keyword(s):

Fuzzy Models ◽

Local Linear ◽

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Local Linear Neuro-Fuzzy Models: Fundamentals

Nonlinear System Identification ◽

10.1007/978-3-030-47439-3_13 ◽

2020 ◽

pp. 393-445

Author(s):

Oliver Nelles

Keyword(s):

Fuzzy Models ◽

Local Linear ◽

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Local Linear Neuro-Fuzzy Models: Advanced Aspects

Nonlinear System Identification ◽

10.1007/978-3-030-47439-3_14 ◽

2020 ◽

pp. 447-581

Author(s):

Oliver Nelles

Keyword(s):

Fuzzy Models ◽

Local Linear ◽

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Comparison of Sugeno and Mamdani fuzzy models optimized by artificial bee colony algorithm for nonlinear system modelling

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331215591239 ◽

2015 ◽

Vol 38 (5) ◽

pp. 579-592 ◽

Author(s):

Aytekin Bagis ◽

Mehmet Konar

Keyword(s):

Nonlinear System ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

System Modelling ◽

Fuzzy Models ◽

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Dynamic Local Linear Neuro-Fuzzy Models

Nonlinear System Identification ◽

10.1007/978-3-662-04323-3_18 ◽

2001 ◽

pp. 601-644 ◽

Author(s):

Oliver Nelles

Keyword(s):

Fuzzy Models ◽

Local Linear ◽

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Cost and risk aggregation in multi-objective route planning for hazardous materials transportation—A neuro-fuzzy and artificial bee colony approach

Expert Systems with Applications ◽

10.1016/j.eswa.2016.08.024 ◽

2016 ◽

Vol 65 ◽

pp. 1-15 ◽

Author(s):

Dragan Pamučar ◽

Srđan Ljubojević ◽

Dragan Kostadinović ◽

Boban Đorović

Keyword(s):

Artificial Bee Colony ◽

Route Planning ◽

Hazardous Materials ◽

Hazardous Materials Transportation ◽

Multi Objective ◽

Neuro Fuzzy ◽

Risk Aggregation

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Aircraft parameter estimation using Hybrid Neuro Fuzzy and Artificial Bee Colony optimization (HNFABC) algorithm

Aerospace Science and Technology ◽

10.1016/j.ast.2017.10.030 ◽

2017 ◽

Vol 71 ◽

pp. 772-782 ◽

Author(s):

Abhishek Ghosh Roy ◽

N. K. Peyada

Keyword(s):

Parameter Estimation ◽

Artificial Bee Colony ◽

Artificial Bee Colony Optimization ◽

Neuro Fuzzy ◽

Bee Colony Optimization

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A Learning Algorithm for Local Linear Neuro-fuzzy Models with Self-construction through Merge & Split

2006 IEEE Conference on Cybernetics and Intelligent Systems ◽

10.1109/iccis.2006.252305 ◽

2006 ◽

Author(s):

Atiye Jamab ◽

Babak Araabi

Keyword(s):

Learning Algorithm ◽

Fuzzy Models ◽

Local Linear ◽

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Optimizing the parameters of Sugeno based adaptive neuro fuzzy using artificial bee colony: A Case study on predicting the wind speed

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems ◽

10.15439/2016f516 ◽

2016 ◽

Author(s):

Fatma Helmy Ismail ◽

Mohamed Abdel Aziz ◽

Aboul Ella Hassanien

Keyword(s):

Artificial Bee Colony ◽

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Nonlinear model-based control with local linear neuro-fuzzy models

Archive of Applied Mechanics ◽

10.1007/s00419-002-0264-3 ◽

2003 ◽

Vol 72 (11) ◽

pp. 911-922 ◽

Author(s):

A. Fink ◽

S. Töpfer ◽

R. Isermann

Keyword(s):

Nonlinear Model ◽

Model Based Control ◽

Fuzzy Models ◽

Model Based ◽

Local Linear ◽

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