adaptive neuro fuzzy inference systems

... studies a new controller to control complex systems The PSS is used very effectively in linear systems, however, with nonlinear systems is not effective Fuzzy control technique requires human knowledge ... Research on Adaptive Neural Fuzzy Inference System (ANFIS) controller for power system stability By Phan Xuan Le A dissertation ... systems are necessary (2) The thesis analyzes excitation system of electrical generator, which III 昆明理工大学博士学位论文 shows a significant impact to dynamic stability and static stability of power systems

Ngày tải lên: 15/08/2023, 18:29

... convergence rate of DE by the use of adaptive parameters More description of the hybrid usage of EAs and fuzzy logic can be seen in [33–38] In this paper, fuzzy logic inference system is used to dynamically ... design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic, Expert Syst Appl 40 (2013) 3196–3206 [36] H Neyoy, O Castillo, J Soria, Dynamic Fuzzy Logic ... adjustment of DE have been revealed Fuzzy logic plays a pivotal role in this category As a matter of fact, fuzzy logic is a knowledgebased system considering a set of fuzzy rules proposed by Zadeh

Ngày tải lên: 19/11/2022, 11:44

... online 31 December 2014 Keywords: Fuzzy sets Hybrid Intuitionistic Fuzzy Collaborative Filtering Intuitionistic fuzzy recommender systems Medical diagnosis Picture fuzzy clustering a b s t r a c ... be: (i) building fuzzy rules derived from both picture fuzzy clustering and intuitionistic fuzzy recommender systems to make the prediction 3700 N.T Thong, L.H Son / Expert Systems with Applications ... disease diagnosis using fuzzy max-min composition technique Fuzzy Systems, 6(1) Neog, T J., & Sut, D K (2011) An application of fuzzy soft sets in medical diagnosis using fuzzy soft complement

Ngày tải lên: 16/12/2017, 00:25

... advanced fuzzy sets such as the type-2 fuzzy sets [26], the interval-valued intuitionistic fuzzy sets [2], fuzzy soft set [25,47] and intuitionistic fuzzy soft set [1,21] The combination of these fuzzy ... Available online 20 November 2014 Keywords: Accuracy Fuzzy sets Intuitionistic fuzzy collaborative filtering Intuitionistic fuzzy recommender systems Medical diagnosis a b s t r a c t Medical diagnosis ... intuitionistic fuzzy recommender systems (IFRS) including: (i) new definitions of single-criterion and multi-criteria IFRS; (ii) new definitions of intuitionistic fuzzy matrix (IFM) and intuitionistic fuzzy

Ngày tải lên: 16/12/2017, 16:44

... THE ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM (ANFIS) The Adaptive Network-based Fuzzy Inference System (ANFIS) that was proposed by Roger Jang [7] is one of the most commonly used fuzzy inference ... GENERALIZED MODEL FOR FUZZY INFERENCE SYSTEMS Fuzzy if-then rules or fuzzy conditional statements are expressions of the form IF A THEN B, where A and B are linguistic values of fuzzy linguistic variables ... 2.1: The block diagram of a fuzzy inference system Depending on the type of fuzzy reasoning and the fuzzy if-then rules that are used, there are three types of inference systems The overall output

Ngày tải lên: 03/02/2020, 22:26

... in Fuzzy Sets for Intelligent Systems, pp 387–403, 1993 [7] J.-C Lo and M.-L Lin, “Robust H∞ control for fuzzy systems with Frobenius norm-bounded uncertainties,” IEEE Transactions on Fuzzy Systems, ... multivariable Takagi-Sugeno fuzzy control systems, ” IEEE Transactions on Fuzzy Systems, vol 7, no 5, pp 508–520, 1999 [6] T Takagi and M Sugeno, ? ?Fuzzy identification of systems and its applications to ... “Robust adaptive control for time-delay system via T-S fuzzy approach,” Robust Control for Nonlinear Time-Delay Systems, pp 93–112, 2018 [2] K Tanaka, T Ikeda, and H O Wang, ? ?Fuzzy regulators and fuzzy

Ngày tải lên: 26/03/2020, 02:03

... Editors Adaptive Autonomous Secure Cyber Systems Adaptive Autonomous Secure Cyber Systems Sushil Jajodia • George Cybenko V.S Subrahmanian • Vipin Swarup Cliff Wang • Michael Wellman Editors Adaptive ... and cyber systems promises to revolutionize cyber operations The ability of autonomous systems to execute at scales, scopes, and tempos exceeding those of humans and human-controlled systems will ... defense systems incorporate new technologies like cloud computing, artificial intelligence, lasers, optronics, electronics and submicronic processors, on-board power-generation systems, automation systems,

Ngày tải lên: 08/05/2020, 06:41

... support throughout his education and study at AIT ii ABSTRACT The neuro - fuzzy technique (NFT), called the Adaptive Neuro - Fuzzy Based Inference System (ANFIS) was employed to forecast daily and ... Description Artificial Neural Network Adaptive Neuro - Fuzzy Based Inference System Efficiency Index Membership Function Multi Variables Regression Neuro- Fuzzy Technique Multilayer Perceptron ... Membership Function 12 3.4 Fuzzy Inference System 13 3.5 Commonly Used Fuzzy If – Then Rules and Fuzzy Reasoning Mechanisms 14 3.6 An Adaptive Network 15 3.7 Type-3 Fuzzy Reasoning 19 3.8 Equivalent

Ngày tải lên: 09/02/2021, 16:00

... input parameters for the fuzzy inference engine - Classification of the test sequence by the fuzzy inference engine: In this step, the fuzzy inference engine applies the fuzzy sets and rules to ... Anomaly detection systems, based on fuzzy inference, can combine inputs from multiple sources, which leads to better detection performance [1] Although the application of fuzzy inference in anomaly ... truth for each matched fuzzy set Defuzzification is the process of transforming the fuzzy value into a crisp value In our fuzzy inference engine, the output anomaly score fuzzy set is defuzzified

Ngày tải lên: 18/03/2021, 10:29

... support throughout his education and study at AIT ii ABSTRACT The neuro - fuzzy technique (NFT), called the Adaptive Neuro - Fuzzy Based Inference System (ANFIS) was employed to forecast daily and ... Description Artificial Neural Network Adaptive Neuro - Fuzzy Based Inference System Efficiency Index Membership Function Multi Variables Regression Neuro- Fuzzy Technique Multilayer Perceptron ... Membership Function 12 3.4 Fuzzy Inference System 13 3.5 Commonly Used Fuzzy If – Then Rules and Fuzzy Reasoning Mechanisms 14 3.6 An Adaptive Network 15 3.7 Type-3 Fuzzy Reasoning 19 3.8 Equivalent

Ngày tải lên: 16/04/2021, 04:24

... J Lin, ? ?Fuzzy neural network sliding-mode position controller for induction servo motor drive,” Proc IEE—Elect Power Applicat., vol 146, pp 297–307, 1999 [20] L X Wang, Adaptive Fuzzy Systems ... drive with fuzzy neural network uncertainty observer,” IEEE Trans Ind Electron., vol 47, pp 356–367, Apr 2000 [6] R J Wai, “Development of new training algorithms for neuro- wavelet systems on ... for neuro wavelet systems on the robust control of induction servo motor drive,” IEEE Trans Ind Electron., vol 49, no 6, pp 1323–1341, Dec 2002 [15] C F Hsu, C M Lin, and T T Lee, “Wavelet adaptive

Ngày tải lên: 25/10/2022, 12:26

... Chapter 2: User Behaviors-based CF Using Neuro- Fuzzy Network 2.1 Profile Modeling 2.2 Content-based Filtering Using Neuro- Fuzzy Network Chapter Experiments ... Filtering for Video Recommendation Using Ontology-based Neuro- Fuzzy on Social TV”, ELSEVIER, 03-2015 x Abstract Recommendation systems are systems that seek for prediction and give users recommendation ... ) In this paper, the above mathematical model is expressed by a fuzzy- neuron structure (FNS), which is a combination of a fuzzy inference system (FIS) and a neural network structure (NNS) Relating...

Ngày tải lên: 23/10/2015, 15:38

... Chapter 2: User Behaviors-based CF Using Neuro- Fuzzy Network 2.1 Profile Modeling 2.2 Content-based Filtering Using Neuro- Fuzzy Network Chapter Experiments ... ) In this paper, the above mathematical model is expressed by a fuzzy- neuron structure (FNS), which is a combination of a fuzzy inference system (FIS) and a neural network structure (NNS) Relating ... Nguyen,S D., Ngo, K N.: 2008, An Adaptive Input Data Space Parting Solution to theSynthesis of Neuro- Fuzzy Models, International Journal of Control, Automation, andSystems, IJCAS, Vol 6, No 6, 928-938...

Ngày tải lên: 13/09/2016, 21:35

... B.-C Wang, Adaptive fuzzy power control for CDMA mobile radio systems, ” IEEE Transactions on Vehicular Technology, vol 45, no 2, pp 225–236, 1996 [9] P.-R Chang and B.-C Wang, Adaptive fuzzy proportional ... unsharp or fuzzy boundaries Systems designed and developed utilizing fuzzy- logic methods have been shown to be more efficient than those based on conventional approaches [6] Notably, a fuzzy- logic ... the fuzzy inference system (FIS), is developed here to adjust adaptively the stepsize μ for the LMS algorithm or the forgetting factor λ for the RLS algorithm at each time index This proposed fuzzybased...

Ngày tải lên: 22/06/2014, 23:20

... KH&CN, TẬP 11, SỐ 05- 2008 4.THUẬT TỐN HUẤN LUYỆN MẠNG NEURO- FUZZY THỨ NHẤT, HLM1 4.1 Cấu trúc mạng neuro- fuzzy HLM1 Cấu trúc mạng neuro- fuzzy HLM1 tương tự cấu trúc ANFIS [1], nhiên ˆ yi , i ... pHBr( k ) γ hệ số dốc, lấy γ = 0.5 Hình Cấu trúc mạng Neuron -fuzzy a/ Cấu trúc mạng Neuron -fuzzy thuật tốn HLM1; b/ Cấu trúc mạng Neuron -fuzzy thuật tốn HLM2 - Giá trị liên thuộc mẩu xi vào tập ... có sai số E ≤ [ E ] có M nhỏ 5.THUẬT TỐN HUẤN LUYỆN MẠNG NEURO- FUZZY THỨ HAI, HLM2 5.1 Cấu trúc mạng neuro- fuzzy HLM2 Cấu trúc mạng neuro- fuzzy thuật tốn HLM2 thể hình 3b Các lớp input output mạng...

Ngày tải lên: 04/10/2012, 11:52

... input parameters for the fuzzy inference engine - Classification of the test sequence by the fuzzy inference engine: In this step, the fuzzy inference engine applies the fuzzy sets and rules to ... Anomaly detection systems, based on fuzzy inference, can combine inputs from multiple sources, which leads to better detection performance [1] Although the application of fuzzy inference in anomaly ... truth for each matched fuzzy set Defuzzification is the process of transforming the fuzzy value into a crisp value In our fuzzy inference engine, the output anomaly score fuzzy set is defuzzified...

Ngày tải lên: 22/03/2014, 09:20

... are the values of membership-neurons based on fuzzy input-MF mapping, M X are membership-neuron values for fuzzy state-MF mapping The function f can be a Sujeno fuzzy inference system [11] or a ... Journal of NeuroEngineering and Rehabilitation 2005, 2:15 http://www.jneuroengrehab.com/content/2/1/15 Figure Example7simulation of the "adaptive model" of Table Example simulation of the "adaptive ... bio-model http://www.jneuroengrehab.com/content/2/1/15 10 Conclusion A neuro- fuzzy modelling framework (SoftBioME) is developed for estimating changes of states in bio -systems as a function of...

Ngày tải lên: 19/06/2014, 10:20

... measurement Fuzzy fusion based on OWA 2.6 y1 TSK4 (ECG) neuro- fuzzy network TSK5 (EM) neuro- fuzzy network y5 TSK3 (EEG) neuro- fuzzy network y4 TSK2 (DH) neuro- fuzzy network y3 TSK1 (SQ) neuro- fuzzy ... partitioned into three fuzzy sets Thus, the neuro- fuzzy TSK1 network has three fuzzy inference rules corresponding to the three fuzzy sets The premise and consequent parameters of the inference, denoted ... partitioned into three fuzzy sets Thus, the neuro- fuzzy TSK2 network has three fuzzy inference rules corresponding to the three fuzzy sets The premise and consequent parameters of the inference, denoted...

Ngày tải lên: 22/06/2014, 19:20

... Diagnosis in Power Distribution Network Using Adaptive Neuro- Fuzzy Inference System (ANFIS) 315 Rasli, Hussain and Fauzi Chapter 16 A Multi Adaptive Neuro Fuzzy Inference System for Short Term Load Forecasting ... (DIASYN) tool that is a fuzzy rule-based inference system for bridge damage diagnosis and prediction, an adaptive neuro- fuzzy inference system for bridge risk assessment, a neuro- fuzzy hybrid system ... Chapter Fuzzy Inference Systems Applied to the Analysis of Vibrations in Electrical Machines 135 Fredy Sanz, Juan Ramírez and Rosa Correa VI Contents Chapter The Hybrid Intelligent Method Based on Fuzzy...

Ngày tải lên: 27/06/2014, 00:20

... Fuzzy Expert Systems  Introduction  Mamdani fuzzy inference  Sugeno fuzzy inference  Summary October 14, 2004 Fuzzy Expert Systems  Introduction  Mamdani fuzzy inference  Sugeno fuzzy ... 14, 2004 17 100 Z Fuzzy Expert Systems  Introduction  Mamdani fuzzy inference  Sugeno fuzzy inference  Summary October 14, 2004 18 Sugeno fuzzy inference Mamdani-style inference is, in general, ... of crisp output October 14, 2004 Fuzzy Expert Systems  Introduction  Mamdani fuzzy inference  Sugeno fuzzy inference  Summary October 14, 2004 Mamdani fuzzy inference Example: a simple two-input...

Ngày tải lên: 01/07/2014, 12:32