![Page 1: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/1.jpg)
Improved Adaptive Neuro-FuzzyInference System
by Purwanto Purwanto
Submission date: 29-Mar-2020 12:07AM (UTC+0700)Submission ID: 1283975506File name: Int_Proc_0_Book_Chapter_-Improved_Adaptive_Neuro-FIS.pdf (429.21K)Word count: 4091Character count: 20196
![Page 2: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/2.jpg)
![Page 3: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/3.jpg)
![Page 4: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/4.jpg)
![Page 5: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/5.jpg)
![Page 6: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/6.jpg)
![Page 7: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/7.jpg)
![Page 8: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/8.jpg)
![Page 9: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/9.jpg)
![Page 10: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/10.jpg)
![Page 11: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/11.jpg)
![Page 12: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/12.jpg)
![Page 13: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/13.jpg)
![Page 14: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/14.jpg)
![Page 15: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/15.jpg)
19%SIMILARITY INDEX
10%INTERNET SOURCES
9%PUBLICATIONS
13%STUDENT PAPERS
1 1%
2 1%
3 1%
4 1%
5 1%
6 1%
7 1%
8 1%
9 1%
Improved Adaptive Neuro-Fuzzy Inference SystemORIGINALITY REPORT
PRIMARY SOURCES
Submitted to National College of IrelandStudent Paper
Submitted to University of LancasterStudent Paper
dokumen.siteInternet Source
en.wikipedia.orgInternet Source
Wei Guo, Tao Xu, Zonglei Lu. "An integratedchaotic time series prediction model based onefficient extreme learning machine anddifferential evolution", Neural Computing andApplications, 2015Publication
Dong Ho Kim. "Adaptive Cell Management in aFemto-Cell System", Communications inComputer and Information Science, 2011Publication
Valenzuela, O.. "Hybridization of intelligenttechniques and ARIMA models for time seriesprediction", Fuzzy Sets and Systems, 20080401Publication
Submitted to Manchester MetropolitanUniversityStudent Paper
YUANYUAN CHAI, LIMIN JIA. "CHOQUETINTEGRAL–OWA BASED ADAPTIVE NEURAL
![Page 16: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/16.jpg)
10 1%
11 <1%
12 <1%
13 <1%
14 <1%
15 <1%
16 <1%
17 <1%
18 <1%
19 <1%
20 <1%
21 <1%
22 <1%
FUZZY INFERENCE SYSTEM WITHAPPLICATION", International Journal ofComputational Intelligence and Applications,2012Publication
maciej.szmit.infoInternet Source
Submitted to University of OxfordStudent Paper
link.springer.comInternet Source
www.waset.orgInternet Source
Submitted to University of SydneyStudent Paper
eprints.unsri.ac.idInternet Source
www.hydrol-earth-syst-sci-discuss.netInternet Source
www.erem.ktu.ltInternet Source
hdl.handle.netInternet Source
Submitted to Siksha 'O' Anusandhan UniversityStudent Paper
Fengming M. Chang. "An intelligent method toblock e-mail bombs", Applied Intelligence, 2007Publication
Submitted to Batman UniversityStudent Paper
Reza Askari Moghadam. "Hybrid ARIMA andNeural Network Model for Measurement
![Page 17: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/17.jpg)
23 <1%
24 <1%
25 <1%
26 <1%
27 <1%
28 <1%
29 <1%
30 <1%
31 <1%
32 <1%
33 <1%
Estimation in Energy-Efficient Wireless SensorNetworks", Communications in Computer andInformation Science, 2011Publication
Submitted to University of WitwatersrandStudent Paper
ro.ecu.edu.auInternet Source
infocomp.dcc.ufla.brInternet Source
Changhong Liu, Xintian Liu, Hu Huang, LihuiZhao. "Chapter 19 Low Circle Fatigue LifeModel Based on ANFIS", Springer Science andBusiness Media LLC, 2008Publication
Submitted to Kyungpook National UniversityStudent Paper
Submitted to Massey UniversityStudent Paper
www.vincentgaspersz.comInternet Source
Wei-Der Chang. "Recurrent neural networkmodeling combined with bilinear modelstructure", Neural Computing and Applications,2012Publication
Submitted to University of WollongongStudent Paper
Submitted to Universiti Putra MalaysiaStudent Paper
epdf.pubInternet Source
![Page 18: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/18.jpg)
34 <1%
35 <1%
36 <1%
37 <1%
38 <1%
39 <1%
40 <1%
41 <1%
42 <1%
43 <1%
R. Kothamasu, S. H. Huang *, W. H. Verduin."Comparison of computational intelligence andstatistical methods in condition monitoring forhard turning", International Journal of ProductionResearch, 2005Publication
A H Pratama, W Dwiono, M T Tamam."Simulation and Analysis of ANFIS (AdaptiveNeuro-Fuzzy Inference System) for MusicGenre", IOP Conference Series: MaterialsScience and Engineering, 2020Publication
scholarsbank.uoregon.eduInternet Source
Ma, Jun, and Shi Hai Zhang. "The MechanicalFault Diagnosis Method Based on EMD andTime Series Analysis", Applied Mechanics andMaterials, 2014.Publication
doras.dcu.ieInternet Source
acervodigital.ufpr.brInternet Source
docplayer.netInternet Source
bib.irb.hrInternet Source
www.inderscienceonline.comInternet Source
Submitted to Higher Education CommissionPakistanStudent Paper
irma-international.org
![Page 19: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/19.jpg)
44 <1%
45 <1%
46 <1%
47 <1%
48 <1%
49 <1%
50 <1%
51 <1%
52 <1%
53 <1%
54 <1%
55 <1%
Internet Source
www.mdpi.comInternet Source
Submitted to The Hong Kong PolytechnicUniversityStudent Paper
Arash Ghanbari. "An Intelligent ACO-SAApproach for Short Term Electricity LoadPrediction", Lecture Notes in Computer Science,2010Publication
Submitted to Jawaharlal Nehru TechnologicalUniversity AnantapurStudent Paper
Submitted to Kaohsiung Medical UniversityStudent Paper
S. Ismail. "River Flow Forecasting: a HybridModel of Self Organizing Maps and LeastSquare Support Vector Machine", Hydrologyand Earth System Sciences Discussions,10/18/2010Publication
Submitted to Macquarie UniversityStudent Paper
Submitted to Universitas DiponegoroStudent Paper
Submitted to Florida State UniversityStudent Paper
Submitted to Federal University of TechnologyStudent Paper
Submitted to University of SouthamptonStudent Paper
![Page 20: Inference System Improved Adaptive Neuro-Fuzzy](https://reader030.vdocument.in/reader030/viewer/2022012408/616a36b711a7b741a3500d54/html5/thumbnails/20.jpg)
56 <1%
57 <1%
Exclude quotes Off
Exclude bibliography On
Exclude matches < 5 words
Measuring Business Excellence, Volume 17,Issue 1 (2013-03-09)Publication
Submitted to University of SunderlandStudent Paper