Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting

Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication - IMCOM '15 ◽

10.1145/2701126.2701177 ◽

2015 ◽

Author(s):

Saima Hassan ◽

Abbas Khosravi ◽

Jafreezal Jaafar

Keyword(s):

Fuzzy Logic ◽

Extreme Learning Machine ◽

Load Forecasting ◽

Fuzzy Logic System ◽

Learning Machine ◽

Interval Type ◽

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A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2016.03.001 ◽

2016 ◽

Vol 82 ◽

pp. 1-10 ◽

Author(s):

Saima Hassan ◽

Abbas Khosravi ◽

Jafreezal Jaafar ◽

Mojtaba Ahmadieh Khanesar

Keyword(s):

Fuzzy Logic ◽

Demand Forecasting ◽

Fuzzy Logic System ◽

Systematic Design ◽

Load Demand ◽

Electricity Load ◽

Learning Machine ◽

Interval Type ◽

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A hybrid Type-2 Fuzzy Logic System and Extreme Learning Machine for low-cost INS/GPS in high-speed vehicular navigation system

Applied Soft Computing ◽

10.1016/j.asoc.2020.106447 ◽

2020 ◽

Vol 94 ◽

pp. 106447

Author(s):

E.S. Abdolkarimi ◽

G. Abaei ◽

A. Selamat ◽

M.R. Mosavi

Keyword(s):

Fuzzy Logic ◽

Extreme Learning Machine ◽

Navigation System ◽

Low Cost ◽

Fuzzy Logic System ◽

Hybrid Type ◽

Learning Machine ◽

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Application of Interval Type-2 Fuzzy Logic System in Short Term Load Forecasting on Special Days

IPTEK The Journal for Technology and Science ◽

10.12962/j20882033.v22i2.65 ◽

2011 ◽

Vol 22 (2) ◽

Author(s):

Agus Dharma ◽

Imam Robandi ◽

Mauridhi Hery Purnomo

Keyword(s):

Fuzzy Logic ◽

Load Forecasting ◽

Fuzzy Logic System ◽

Short Term Load Forecasting ◽

Interval Type ◽

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Short-Term Power Load Forecasting by Interval Type-2 Fuzzy Logic System

Communications in Computer and Information Science - Information Computing and Applications ◽

10.1007/978-3-642-27452-7_78 ◽

2011 ◽

pp. 575-582 ◽

Author(s):

Lan Yao ◽

Yu-lian Jiang ◽

Jian Xiao

Keyword(s):

Fuzzy Logic ◽

Load Forecasting ◽

Fuzzy Logic System ◽

Power Load Forecasting ◽

Interval Type ◽

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A New Interval Type-2 Fuzzy Logic System Under Dynamic Environment: Application to Financial Investment

SSRN Electronic Journal ◽

10.2139/ssrn.3532096 ◽

2020 ◽

Author(s):

Akihiko Takahashi ◽

Soichiro Takahashi

Keyword(s):

Fuzzy Logic ◽

Dynamic Environment ◽

Fuzzy Logic System ◽

Financial Investment ◽

Interval Type ◽

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A new interval type-2 fuzzy logic system under dynamic environment: Application to financial investment

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104154 ◽

2021 ◽

Vol 100 ◽

pp. 104154

Author(s):

Akihiko Takahashi ◽

Soichiro Takahashi

Keyword(s):

Fuzzy Logic ◽

Dynamic Environment ◽

Fuzzy Logic System ◽

Financial Investment ◽

Interval Type ◽

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Identification of continuous stirred tank reactor based on PCA-interval type-2 fuzzy logic system method

Procedia Computer Science ◽

10.1016/j.procs.2021.02.053 ◽

2021 ◽

Vol 183 ◽

pp. 230-236

Author(s):

Zhengmei Zhao ◽

Jun Li

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic System ◽

Stirred Tank ◽

Continuous Stirred Tank Reactor ◽

Tank Reactor ◽

System Method ◽

Continuous Stirred Tank ◽

Interval Type ◽

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Diagnosing of Risk State in Subsystems of CNC Turning Center using Interval Type-2 Fuzzy Logic System with Semi Elliptic Membership Functions

International Journal of Fuzzy Systems ◽

10.1007/s40815-021-01172-0 ◽

2021 ◽

Author(s):

K. B. Badri Narayanan ◽

M. Sreekumar

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic System ◽

Membership Functions ◽

Cnc Turning ◽

Turning Center ◽

Interval Type ◽

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Detection and classification of multiple power signal patterns with Volterra series and interval type-2 fuzzy logic system

Protection and Control of Modern Power Systems ◽

10.1186/s41601-017-0039-z ◽

2017 ◽

Vol 2 (1) ◽

Author(s):

Rahul ◽

Rajiv Kapoor ◽

M. M. Tripathi

Keyword(s):

Fuzzy Logic ◽

Volterra Series ◽

Fuzzy Logic System ◽

Multiple Power ◽

Interval Type ◽

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Interval type-2 fuzzy logic system for the double tank water level control system

2017 9th International Conference on Modelling, Identification and Control (ICMIC) ◽

10.1109/icmic.2017.8321608 ◽

2017 ◽

Author(s):

Wen Zhang ◽

Ruisheng Sun

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Water Level ◽

Fuzzy Logic System ◽

Level Control ◽

Level Control System ◽

Interval Type ◽

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