neural network and fuzzy logic by rajasekaran
A new fuzzy regression model based on interval valued fuzzy neural network and its applications to management
... Mosleh and et al (2010) used fuzzy neural network and compared the performance of these two methods in estimation • Mosleh and et al (2010,2011,2012) used fuzzy neural network for estimation of fuzzy ... M, Abbasbandy S Evaluation of fuzzy regression models by fuzzy neural network, Journal of Computational and Applied Mathematics 2010;234:825-834 [16] Mosleh M, Otadi M, Abbasbandy S Fuzzy polynomial ... with fuzzy neural networks, Applied Mathematical Modelling 2011;35:54005412 [17] Mosleh M, Allahviranloo T, Otadi M Evaluation of fully fuzzy regression models by fuzzy neural network, Neural
Ngày tải lên: 19/11/2022, 11:46
Anomaly detection in online social networks using data mining techniques and fuzzy logic
... Social Networks: Using data-mining Techniques and Fuzzy Logic i ii Anomaly Detection In Online Social Networks: Using data-mining Techniques and Fuzzy Logic Abstract The Online Social Networks ... online social networks data graph, including modelling, algorithms, labelling, and evaluation Anomaly Detection In Online Social Networks: Using data-mining Techniques and Fuzzy Logic iii In the ... 28 Kadushin, C (2012) Understanding Social Networks: Theories, Concepts, and Findings Oxford University Press Karger, D R (1999) Random Sampling in Cut, Flow, and Network Design Problems Mathematics
Ngày tải lên: 07/08/2017, 15:46
Construct credit scoring models using logistic regression, neural network and the hybrid model
... VIETNAM THE NETHERLANDS VIETNAM – NETHERLANDS PROGRAMME FOE M.A IN DEVELOPMENT ECONOMICS CONSTRUCT CREDIT SCORING MODELS USING LOGISTIC REGRESSION, NEURAL NETWORK AND THE HYBRID MODEL BY LE MINH TIEN ... 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……………… ... logistic regression, neural network and hybrid model Credit scoring model is considered as an application which is developed and widely applied in the sector of finance and banking in the last
Ngày tải lên: 10/12/2018, 23:49
Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology
... process and the grove dimensions Arun and Avanish (2011) used a hybrid approach of Artificial Neural Network (ANN) and Fuzzy Logic (FL), Adaptive Neuron Fuzzy Inference System (ANFIS) as well ... Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology Bassim Bachy* and Jörg Franke Institute for Factory Automation and Production ... ANN and RSM models were 2.29% and 3.94% respectively, whereas the maximum value 6.38% and 8.76% respectively, and the overall percentage of prediction errors 4.02 % and 6.52%, for the ANN and
Ngày tải lên: 14/05/2020, 21:53
Forecasting exports and imports through artificial neural network and autoregressive integrated moving average
... 204.08K 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 ... Turkey's natural gas demand using artifical neural networks and support vector machines Energy Education Science and Technology Part A: Energy and Research, 30(1), 15-20 Panda, S S., Ames, D P., ... neural networks and ARIMA models for time series forecasting Applied Soft Computing, 11(2), 2664-2675 Kotur, D., & Žarković, M (2016, September) Neural network models for electricity prices and
Ngày tải lên: 26/05/2020, 22:37
Dự báo phụ tải sử dụng walet fuzzy logic using wavelet and fuzzy logic for load forecasting
... WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) II- NHIỆM VỤ VÀ NỘI DUNG: Tổng quan Dự báo phụ tải Lý thuyết Wavelet Lý thuyết Fuzzy Logic Ứng dụng Wavelet – Fuzzy Logic ... 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 ... 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
Dự báo phụ tải sử dụng walet fuzzy logic using wavelet and fuzzy logic for load forecasting
... WALET – FUZZY LOGIC (USING WAVELET AND FUZZY LOGIC FOR LOAD FORECASTING) II- NHIỆM VỤ VÀ NỘI DUNG: Tổng quan Dự báo phụ tải Lý thuyết Wavelet Lý thuyết Fuzzy Logic Ứng dụng Wavelet – Fuzzy Logic ... 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 ... 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
SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES
... Copyright by Sarosh Havewala, 2001 ii SECURITY CHALLENGES IN MOBILE SYSTEMS AND FUZZY LOGIC BASED RISK MODEL FOR SECURE HANDLING OF SMS MESSAGES IN CELLPHONES BY SAROSH CYRUS HAVEWALA ... Intersection (AND) 50 7.4.2 Union (OR) 50 51 51 52 7.4 Operations on Fuzzy Sets 7.4.3 Negation (COMPLEMENT) 7.5 Fuzzy Sets and Risk Modeling Chapter Fuzzy Logic based Risk ... analysis, risk modeling and fuzzy logic can be applied to security in mobile systems It proposed a fuzzy logic based risk model to secure Short Message Service in cellular networks The proposed
Ngày tải lên: 18/10/2022, 11:44
integrating artificial neural network and classical methods for unsupervised classification of optical remote sensing data
... 3.37, 2.92 and 5.1 km2 respectively While the average improvements achieved by UMCS@ and UMCS#, respectively, compared to their individual classifiers were (0.77 and 2.79%) and (0.829 and 2.92%) ... class and average accuracy for UMCS* was significant compared to the improvements made by UMCS@, and UMCS# For UMCS*, the accuracy of all classes were improved over the accuracy achieved by each ... by each of the individual classifiers and the average improvements reached (4.27, 3.70, and 6.41%) over the average accuracy achieved by K-means, K-medians and Kohonen respectively These improvements
Ngày tải lên: 02/11/2022, 11:36
Ebook neural network and deep learning a textbook
... recurrent neural networks and convolutional neural networks Chapters and discuss recurrent and convolutional neural networks Several advanced topics like deep reinforcement learning, neural Turing ... the biological analogy of neural networks is an exciting one and evokes comparisons with science fiction, the mathematical understanding of neural networks is a more mundane one The neural network ... Charu C Aggarwal Neural Networks and Deep Learning A Textbook Neural Networks and Deep Learning Charu C Aggarwal Neural Networks and Deep Learning A Textbook 123 Charu C
Ngày tải lên: 01/03/2023, 16:20
Improving the quality of inverse text normalization based on neural network and numerical entities recognition
... University of Science and Technology Phan Tuan Anh - hereby declare that this thesis on the topic ”Improving the quality of Inverse text normalization based on neural network and numerical entities ... ITN tasks by adopting the combination of neural network models and rule-based systems Specifically, we first use a seq2seq model to detect numerical segments (e.g., cardinals, ordinals, and date) ... I Sutskever, O Vinyals, and Q V Le, “Sequence to sequence learning with neural networks”, in Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing
Ngày tải lên: 04/07/2023, 05:48
Luận văn thạc sĩ construct credit scoring models using logistic regression, neural network and the hybrid model
... VIETNAM THE NETHERLANDS VIETNAM – NETHERLANDS PROGRAMME FOE M.A IN DEVELOPMENT ECONOMICS CONSTRUCT CREDIT SCORING MODELS USING LOGISTIC REGRESSION, NEURAL NETWORK AND THE HYBRID MODEL BY LE MINH TIEN ... 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……………… ... logistic regression, neural network and hybrid model Credit scoring model is considered as an application which is developed and widely applied in the sector of finance and banking in the last
Ngày tải lên: 01/09/2023, 22:28
C++ Neural Networks and Fuzzy Logic pptx
... 0 C++ Neural Networks and Fuzzy Logic: Preface Binary and Bipolar Inputs 27 Chapter 3—A Look at Fuzzy Logic Crisp or Fuzzy Logic? Fuzzy Sets Fuzzy Set Operations Union of Fuzzy Sets Intersection and ... Input Vectors Example Variations and Applications of Kohonen Networks C++ Neural Networks and Fuzzy Logic: Preface Preface 8 C++ Neural Networks and Fuzzy Logic by Valluru B. Rao MTBooks, IDG Books ... software reuse and enhanced reliability. Previous Table of Contents Next Copyright â IDG Books Worldwide, Inc. C++ Neural Networks and Fuzzy Logic: Preface Summary 37 C++ Neural Networks and Fuzzy Logic by...
Ngày tải lên: 23/03/2014, 22:21