adaptive neuro fuzzy inference systems

Machine fault diagnois and condition prognois using adaptive neuro fuzzy inference system and classification and regression trees

Ngày tải lên : 22/06/2016, 16:36

... Machine Fault Diagnosis and Condition Prognosis using Adaptive Neuro- Fuzzy Inference System and Classification and Regression Trees 기계 결함진단 및 예지를 위한 ANFIS 와 CART ... Regression tree .55 3.4 Cross-validation for selecting the best tree 56 Adaptive Neuro- Fuzzy Inference System (ANFIS) 57 4.1 Architecture of ANFIS 57 4.2 Learning algorithm...

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Adaptive neuro fuzzy network for recommendation

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 ... 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...

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Adaptive neuro fuzzy network for recommendation

Ngày tải lên : 13/09/2016, 21:35

... 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...

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Báo cáo hóa học: " Space-Time Joint Interference Cancellation Using Fuzzy-Inference-Based Adaptive Filtering Techniques in Frequency-Selective Multipath Channels" potx

Ngày tải lên : 22/06/2014, 23:20

... 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...

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Artical - Neuron Network - Xây dựng hệ thống suy diễn neuro-fuzzy

Ngày tải lên : 04/10/2012, 11:52

... 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...

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Báo cáo " A program anomaly intrusion detection scheme based on fuzzy inference " potx

Ngày tải lên : 22/03/2014, 09:20

... 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...

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fuzzy expert systems and fuzzy reasoning

Ngày tải lên : 01/06/2014, 10:14

... Characteristics of Expert Systems 1.1.1 Production Systems 1.1.2 Data-Driven Systems 1.1.3 Special Features of Fuzzy Systems 1.1.4 Expert Systems for Fuzzy Control and for Fuzzy Reasoning 1.2 Neural ... programs 1.1.4 Expert Systems for Fuzzy Control and for Fuzzy Reasoning There are two general types of fuzzy expert systems: fuzzy control and fuzzy reasoning Although both make use of fuzzy sets, they ... Alabama at Birmingham, Birmingham, AL 35294 JOHN WILEY & SONS, INC FUZZY EXPERT SYSTEMS AND FUZZY REASONING FUZZY EXPERT SYSTEMS AND FUZZY REASONING William Siler Kemp-Carraway Heart Institute, Birmingham,...

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báo cáo hóa học: "A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants" pptx

Ngày tải lên : 19/06/2014, 10:20

... 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...

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Báo cáo hóa học: " Research Article Multimodality Inferring of Human Cognitive States Based on Integration of Neuro-Fuzzy Network and Information Fusion Techniques" pot

Ngày tải lên : 22/06/2014, 19:20

... 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...

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FUZZY INFERENCE SYSTEM – THEORY AND APPLICATIONS doc

Ngày tải lên : 27/06/2014, 00:20

... 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...

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fuzzy expert systems

Ngày tải lên : 01/07/2014, 12:32

... 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...

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Báo cáo nghiên cứu khoa học: " NHẬN DẠNG KHUYẾT TẬT CỦA CẦU MÔ HÌNH BẰNG PHƯƠNG PHÁP NĂNG LƯỢNG VÀ MẠNG NEURO-FUZZY" pps

Ngày tải lên : 22/07/2014, 02:20

... max μH (M ) ( x ) RM Hình Cấu trúc mạng Neuro- fuzzy 2.3.2.Xây dựng mạng neuro- fuzzy Sử dụng thuật toán tổng hợp mạng ANFIS [1] để xây dựng mạng neuro- fuzzy (hình 4) có chức nhận dạng đối tượng ... method based on neuro- fuzzy networks and characteristics of displacement-distributing state of vibrating beam, which is used for the bridge model The structure of neuro- fuzzy inference system ... mạng neuro- fuzzy nhận dạng trường hợp hư hỏng tương ứng Nghĩa ứng với trường hợp hư hỏng thứ j có tập TrSj tương Trang 11 Science & Technology Development, Vol 11, No.02- 2008 ứng có mạng neuro- fuzzy...

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Báo cáo nghiên cứu khoa học: "XÂY DỰNG HỆ THỐNG SUY DIỄN NEURO-FUZZY TRÊN CƠ SỞ XÁC LẬP CÁC TẬP MỜ TỐI ƯU Ở KHÔNG GIAN VÀO" docx

Ngày tải lên : 22/07/2014, 03:20

... chủng thứ i, mang nhản j 4.THUẬT TOÁN 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 toán HLM1; b/ Cấu trúc mạng Neuron -fuzzy thuật toán HLM2 - Giá trị liên thuộc mẩu xi vào ... sai số E ≤ [ E ] có M nhỏ 5.THUẬT TOÁN HUẤN LUYỆN MẠNG NEURO- FUZZY THỨ HAI, HLM2 5.1 Cấu trúc mạng neuro- fuzzy HLM2 Cấu trúc mạng neuro- fuzzy thuật toán HLM2 thể hình 3b Các lớp input output...

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Báo cáo khoa học: " Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning" doc

Ngày tải lên : 09/08/2014, 10:20

... Conference on Fuzzy System Anchorage, AK 1998 Nauck D, Kruse R: Neuro- Fuzzy Systems for Function Approximation Fuzzy Sets and Systems 1999, 101(11):261-271 Nauck D: Data Analysis with Neuro- Fuzzy Method ... 83(1):76-85 Nauck D: A Fuzzy Perceptron as a Generic Model for NeuroFuzzy Approaches 2nd GI-Workshop Munich 1994 Nauck D, Kruse R: A Neuro- Fuzzy Approach to Obtain Interpretable Fuzzy Systems for Function ... Fuzzifier A11 X1 Inference Defuzzifier (a) R1 A12 D Y1 Consequent layer Output layer (b) A21 R2 X2 A22 Input layer Antecedent layer Rule layer Figure Fuzzy inference systems Fuzzy inference systems (a)...

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fuzzy control systems - design and analysis

Ngày tải lên : 24/08/2014, 17:20

... 81 FUZZY OBSERVER DESIGN 83 4.1 4.2 Fuzzy Observer r 83 Design of Augmented Systems r 84 4.2.1 Case A r 85 4.2.2 Case B r 90 4.3 Design Example r 93 References r 96 ROBUST FUZZY CONTROL 5.1 Fuzzy ... References r 192 10 FUZZY DESCRIPTOR SYSTEMS AND CONTROL 10.1 Fuzzy Descriptor System r 196 10.2 Stability Conditions r 197 10.3 Relaxed Stability Conditions r 206 10.4 Why Fuzzy Descriptor Systems? r ... T-S FUZZY MODEL AS UNIVERSAL APPROXIMATOR 14.1 Approximation of Nonlinear Functions Using Linear T-S Systems r 278 14.1.1 Linear T-S Fuzzy Systems r 278 14.1.2 Construction Procedure of T-S Fuzzy...

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Design and analysis of type 2 fuzzy logic systems

Ngày tải lên : 04/10/2015, 10:25

... the fuzzy set For type-1 fuzzy sets, the MFs are totally certain The fuzzifier performs a mapping from the crisp input x = (x1 , , xp ) into fuzzy sets in U In the fuzzy inference engine, fuzzy ... are used to combine the fuzzy IF-THEN rules in the fuzzy rule base into a mapping from the fuzzy sets in U to fuzzy sets in V The defuzzifier performs a mapping from fuzzy sets in V to a crisp ... type-2 fuzzy set evolved by blurring the (b) A type-2 fuzzy set evolved by blurring the width of a triangular type-1 fuzzy set apex of a triangular type-1 fuzzy set Figure 2.1: Type-2 fuzzy sets...

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Hybrid and adaptive genetic fuzzy clustering algorithms

Ngày tải lên : 22/10/2015, 21:14

... which utilize adaptive GA, microGA or hybrid GA in the optimization of fuzzy c-mean clustering In the adaptive GA hard /fuzzy clustering scheme, an adaptive GA is utilized in hard /fuzzy clustering ... discussed Chapter presents Fuzzy Clustering algorithms by means of the concept of fuzzy sets approach These include soft/hard fuzzy clustering algorithms Fuzzy c-means algorithm and fuzzy k-means algorithm ... a genetically guided clustering approach using an adaptive genetic algorithm An adaptive GA is utilized in hard /fuzzy clustering schemes The adaptive population size makes the method good at...

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ieee - adaptive fuzzy power control for cdma mobile radio systems

Ngày tải lên : 04/07/2014, 03:55

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Fuzzy AHP based decision support system for selecting ERP systems in textile industry by using balanced scorecard

Ngày tải lên : 07/12/2013, 11:41

... References Buckley, J J (1985) Fuzzy hierarchical analysis Fuzzy Sets Systems, 17(1), 233–247 Buckley, J J (1985) Ranking alternatives using fuzzy numbers Fuzzy Sets Systems, 15(1), 21–31 Byun, ... the proposed methodology is introduced Fuzzy sets and fuzzy numbers are introduced because our comparison method, fuzzy AHP, includes fuzzy numbers and their fuzzy algebraic operations Then, a comparison ... triangular fuzzy numbers (TFNs) Many ranking methods for fuzzy numbers have been developed in the literature They not necessarily give the same rank The algebraic operations with fuzzy numbers...

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Adaptive control systems gang feng rogelio lozano

Ngày tải lên : 01/01/2014, 18:08

... tracking for nonlinear systems 8.1 Introduction 8.2 Problem statement: adaptive tracking 8.3 Adaptive tracking and atclf 's 8.4 Adaptive backstepping 8.5 Inverse optimal adaptive tracking 8.6 ... reducing a priori knowledge of the systems and improving the transient performance of adaptive control systems Most recently, adaptive control of nonlinear systems has received great attention ... Passino In this chapter, stable direct and indirect adaptive controllers are presented which use Takagi±Sugeno fuzzy systems, conventional fuzzy systems, or a class of neural networks to provide...

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