neural network and fuzzy logic control

... Karnik, J M Mendel, and Q Liang Type-2 fuzzy logic systems IEEE Trans Fuzzy Syst., 7(6):643–658, 1999 [35] G J Klir and B Yuan Fuzzy Sets and Fuzzy Logic: Theory and Applications Upper Saddle River, ... the non-symmetric type-2 fuzzy controller ix and the symmetric type-2 fuzzy controller and to establish the unique characteristics of the non-symmetric type-2 fuzzy controller The analysis demonstrated ... robustness of type-1 and interval type-2 fuzzy logic systems in modeling Inf Sci., 181(7):1325– 1347, 2010 [9] J J Buckley and H Ying Linear fuzzy controller: It is a linear non-fuzzy controller Inf

Ngày tải lên: 09/09/2015, 18:49

... interval-valued fuzzy neural network (IVFNN) can be trained with crisp and interval-valued fuzzy data Here a neural network is considered as a part of a large field called neural computing ... rule Buckley and Eslami (1997) consider neural net solutions to fuzzy problems The topic of numerical solution of fuzzy polynomials by fuzzy neural network investigated by Abbasbandy et al (2006,2008), ... triangular fuzzy number ˜˜ALand the upper triangular fuzzy number ˜˜AU Let ˜˜AL and ˜˜AU be two generalized triangular fuzzy numbers, and let wL ˜ Aand WU ˜ A denote the heights of ˜˜ALand ˜˜AU,

Ngày tải lên: 19/11/2022, 11:46

... e =10−4 3.3 Fuzzy logic control A fuzzy subset is expressed as a set of rules which take the form of linguistic expressions These rules express experience of tuning the controller and are captured ... (normalized) Fuzzy controller 1 Fuzzy controller 2 Packet type? Non-scaled transmission count Scaled transmission count I-pic P-pic B-pic ×5 ×3 ×2 Figure 2: Overview of the FLC of ARQ system 3.4 Fuzzy logic ... Article Power-Constrained Fuzzy Logic Control of Video Streaming over a Wireless Interconnect Rouzbeh Razavi, Martin Fleury, and Mohammed Ghanbari Department of Computing and Electronic Systems,

Ngày tải lên: 21/06/2014, 22:20

... Type-2 Fuzzy Logic System 30 3 Dynamic Positioning via Adaptive IT2 Fuzzy Control 38 3.1 Adaptive Fuzzy Logic Controller Design 39 3.1.1 Control Plant Model 39 3.1.2 Control and Adaptive ... Control 93 5.1 Adaptive Fuzzy Logic Controller Design 94 5.1.1 Control Plant Model 94 5.1.2 Indirect Adaptive Fuzzy Control 95 5.1.3 Direct Adaptive Fuzzy Control 97 5.1.4 Stability ... controlsystems including trim and heel correction systems, propeller and thruster controlsystems, and energy and power managements systems In the following subsectionsautopilots, DP systems and

Ngày tải lên: 09/09/2015, 10:21

... starness and cliqueness, and a combination of Gaussian Mixture Model and fuzzy logic as a novel method to differentiate between normal and anomalous instances; o Used fuzzy linguistic and quantitative ... Mixture Models and fuzzy logic for continuous domain data The fuzziness characteristic of instances is the missing point in the existing methods The use of fuzzy logic allows the handling of instances ... DETECTION IN ONLINE SOCIAL NETWORKS: USING DATA- MINING TECHNIQUES AND FUZZY School of Electrical Engineering and Computer Science Faculty of Science and Engineering Queensland University of Technology

Ngày tải lên: 07/08/2017, 15:46

... between neural network and multivariate adaptive regression splines and finally gave the same result Basing on the above justifications, this study will apply logistic regression, neural network and ... comparison……… 52 Table 10 Neural network model summary……… 53 Table 11 Classification of Neural network model……… 53 Table 12 Importance of independent variables of Neural network model……… 54 ... artificial neural network: A basic neural network usually comprises three components such as: input layers, hidden layers, and output layers At the input layers, variables are put into the network

Ngày tải lên: 10/12/2018, 23:49

... properties and the influences on the in-service properties Fig 1 Laser process and the grove dimensions Arun and Avanish (2011) used a hybrid approach of Artificial Neural Network (ANN) and Fuzzy Logic ... analyze and control the performance of the (LDS) process and the quality of the final product In this work we develop mathematical models by using Artificial Neural Network (ANN) and Response ... www.GrowingScience.com/ijiec Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology Institute for Factory Automation and Production Systems

Ngày tải lên: 14/05/2020, 21:53

... 204.08K 2 Methods and Materials 2.1 Artificial Neural Network Artificial Neural Network (ANN) is a well-organized data mining technique which is achieved from a biological neural networks ANN collects ... 1986 Rumelhart, Hinton, and Williams Generalised Delta Rule 1988 Kosko A hybrid of Binary Associative Memory and Fuzzy Logic ANN 2.1.1 Basic Model of Artificial Neural Network An ANN mode can ... model and forecasting techniques are important tools In this study, total annual exports and imports of the Kingdom of Saudi Arabia are forecasted using Artificial Neural Network (ANN) and Autoregressive

Ngày tải lên: 26/05/2020, 22:37

... : R1 : IF 1 = A11 AND 2 = A12 AND AND m = A1m THEN  = B1 hoặc R2 : IF 1 = A21 AND 2 = A22 AND AND m = A2m THEN  = B2 hoặc  Rn : IF 1 = An1 AND 2 = An2 AND AND m = Anm THEN  ... DỤNG WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) II- NHIỆM VỤ VÀ NỘI DUNG: 1 Tổng quan về Dự báo phụ tải 2 Lý thuyết Wavelet 3 Lý thuyết Fuzzy Logic 4 Ứng dụng ... tên học viên: Võ Hoàng Thành Đề tài luận văn: DỰ BÁO PHỤ TẢI SỬ DỤNG WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) Chuyên ngành: Thiết bị, Mạng & Nhà máy Điện Người

Ngày tải lên: 16/02/2021, 18:46

... : R1 : IF 1 = A11 AND 2 = A12 AND AND m = A1m THEN  = B1 hoặc R2 : IF 1 = A21 AND 2 = A22 AND AND m = A2m THEN  = B2 hoặc  Rn : IF 1 = An1 AND 2 = An2 AND AND m = Anm THEN  ... DỤNG WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) II- NHIỆM VỤ VÀ NỘI DUNG: 1 Tổng quan về Dự báo phụ tải 2 Lý thuyết Wavelet 3 Lý thuyết Fuzzy Logic 4 Ứng dụng ... tên học viên: Võ Hoàng Thành Đề tài luận văn: DỰ BÁO PHỤ TẢI SỬ DỤNG WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) Chuyên ngành: Thiết bị, Mạng & Nhà máy Điện Người

Ngày tải lên: 09/03/2021, 00:03

... 2001Fuzzy Copyright by Sarosh Havewala, 2001Sets Copyright by Sarosh Havewala, 2001and Copyright by Sarosh Havewala, 2001Risk Copyright by Sarosh Havewala, 2001Modeling 51 Chapter 8 Fuzzy Logic ... Havewala, 2001modeling Copyright by Sarosh Havewala, 2001and Copyright by Sarosh Havewala, 2001fuzzy Copyright by Sarosh Havewala, 2001logic Copyright by Sarosh Havewala, 2001can Copyright by ... Havewala, 2001Modeling Copyright by Sarosh Havewala, 2001and Copyright by Sarosh Havewala, 2001Fuzzy Copyright by Sarosh Havewala, 2001Logic Copyright by Sarosh Havewala, 20014 3.1 Copyright

Ngày tải lên: 18/10/2022, 11:44

... images band4, band3, and band2 as RGB and band7, band4, and band1as RGB. Table 3 Identities of output classes Trang 8distance of green color in Kohonen, therefore blue colorwill be the winner and ... color composite images of the available bands Two color composite images were generated using the combinations (band4, band3, band2 as RGB) and (band7, band4, band1 as RGB), Figure 4 First, the interpretation ... Trang 6of ETM + (band1, band2, band3, band4, band5 andband7) The number of neurons in the output layer was chosen to be 8 which are the same as the output classes in K-means and K-medians However

Ngày tải lên: 02/11/2022, 11:36

... Trang 1Neural Networks and Deep Learning Charu C Aggarwal A Textbook Trang 2Neural Networks and Deep LearningTrang 3Charu C AggarwalNeural Networks and Deep Learning A Textbook ... the biological analogy of neural networks is an exciting one and evokes com-parisons with science fiction, the mathematical understanding of neural networks is a more mundane one The neural network ... in neural networks: A lot of the recent success of deep learning is a result of the specialized architectures for various domains, such as recurrent neural networks and convolutional neural networks

Ngày tải lên: 01/03/2023, 16:20

... method under the scenario: of low resources and ambiguous dataand my method is the combination of two conventional approaches: rule-basedand neural network systems Using the hybrid model, I want ... WER score in German, Spanish, and Italian with 2.1%, 5%, and1.6%, respectively In conclusion, the method that use a neural network model for dealing with both TN and ITN tasks can help the model ... using WFST and neural networks for ITN have downsides of their own.WFST-based methods strongly depend on the volume and accuracy of a set ofgrammar rule that language experts can provide, and in

Ngày tải lên: 04/07/2023, 05:48

... between 1988 and 1991 Their findings revealed that while neural networks excelled at predicting bad loans, logit regression and neural networks performed equally in classifying both good and bad loans, ... comparisonOverall accuracy rate Good rejected Bad accepted Selected model Neural network Hybrid model 2 Neural network and Hybrid model 1 The neural network-based credit scoring model generally outperforms the ... modelNeural NetworkAn artificial neural network, as defined by Haykin (1999), is an information processing paradigm that mimics the way biological nervous systems process information These networks

Ngày tải lên: 01/09/2023, 22:28

... Artificial neural networks in biological and environmental analysis CRC Press New York, pp 40 Heddam, S., 2016 Secchi disk depth estimation from water quality parameters: artificial neural network ... agriculture and service activities In this paper, the generalized regression neural network model (GRNN) and the interpolation algorithm was used to evaluate water quality of the Dong Nai river and tributaries ... International Journal of Advance Foundation And Research in Science & Engineering 1: 178-285 Banejad, H and Olyaie, E., 2011 Application of an artificial neural network model to rivers water quality

Ngày tải lên: 27/05/2024, 01:18

... process and prevents overfitting Random Forest excels in synthesizing information and handling noise, making it a popular tool for various classification and prediction applications Random Forest, ... scikit-learn library is used to randomly partition the data Employing a random seed guarantee result reproducibility and aids in monitoring and debugging the training and testing process. Table 1: ... Hl Random Forest ' + |+ n_estimators + max features] | + |+ min samples split = max depth | min samples leaf + bootstrap Trang 282.1 Convolutional Neural Networks (CNN)Convolutional Neural Network

Ngày tải lên: 02/10/2024, 02:55

... coordinates and (3) generation of motor command Based on physiological information and previous models, computational theories are proposed for the first two problems, and a hierarchical neural network ... problem but also resolve the inverse kinematics and inverse dynamics problens for redundant manipulators (Fig 2) Hierarchical neural network for control and learning Ito [5] proposed that the cerebrocerebellar ... plasticity Expanding on these previous models and adaptive filter model of the cerebellum [4], we proposed a neural network model for the control of and learning of voluntary movement [9] In our

Ngày tải lên: 28/04/2014, 10:16

... adaptive control 4 1.1.2 Robust issue in adaptive control 7 1.1.3 Unknown control direction problem in adaptive control 8 1.2 Adaptive Neural Network Control 9 1.2.1 Background of neural ... between differential and difference equationsfor modeling continuous-time and discrete-time systems, respectively Therefore, nonlinearadaptive control and neural network control of discrete-time ... Nussbaumgain, the adaptive control becomes insensitive to system control directions and the bounds con-of control gain become not necessary for control design The adaptive control is also ied with

Ngày tải lên: 14/09/2015, 08:39

... having such a great parents, Jimmy Soewandito andIna Christanti, a loving wife and son, Irene Sagita and Gallant Lovinggod Soe-wandito, for all support, love and encouragement during my Ph.D years ... Therefore a fast and cost-effective adaptive method is highly desired.The main objective in this thesis deals ultimately with the Neural Network(NN) adaptive control for parallel force and motion in ... control, (2) motion only neuro-adaptive control withvelocity observer (since our physical robot does not have a joint velocity feed-back), (3) force and motion neuro-adaptive control which, and

Ngày tải lên: 14/09/2015, 08:50