Fuzzy and Neuro-Fuzzy Intelligent Systems, Ernest Czogala; Jacek Leski

Автор: V. Ravi; Bijaya Ketan Panigrahi; Swagatam Das; Pon
Название: Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)
ISBN: 331927211X ISBN-13(EAN): 9783319272115
Издательство: Springer
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Цена: 177010.00 T
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Описание: Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods.- Multiple Fuzzy Correlated Pattern Tree Mining using Minimum Item All-Confidence Thresholds.- Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles.- Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings using Fuzzy Neural Network Modelling.- Fuzzy Approach to Rank Global Climate Models.- Comparative analysis of ANFIS and SVR Model performance for Rainfall Prediction.- Cross Domain Sentiment Analysis using different Machine Learning Techniques.- Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering.- Framework for knowledge driven optimisation based data encoding for brain data modelling using spiking neural network architecture.- Short Circuit Evaluations in Gцdel Type Logic.- Coefficient of Variation based Decision Tree for Fuzzy Classification.- Predicting protein coding regions by six-base nucleotide distribution.- Ontology for Education System and Ontology based Clustering.- Neural Networks for Fast Estimation of Social Network Centrality Measures.- Scale-free memory to swiftly generate fuzzy future predictions.- Assessment of Vaccination Strategies using Fuzzy Multi-Criteria Decision Making.- Ranking and Dimensionality Reduction using Biclustering.- Effect of Fractional Order in Pole Motion.- Sewage Water Quality Index of Sewage Treatment Plant using Fuzzy MCDM Approach.- Fuzzy Formal Concept Analysis approach for Information Retrieval.- Privacy Preserving Collaborative Clustering using SOM for Horizontal Data Distribution.- A Hybrid Approach to Classification of Categorical Data based on Information-Theoretic Context Selection.- Robust Stabilization of Uncertain T-S fuzzy systems: An Integral Error Dependant Sliding Surface Design Approach.- Extreme learning machine for eukaryotic and prokaryotic promoter prediction.- A hybrid approach to the maximum clique problem in the domain of information management.- An Integrated Network Behavior and Policy based data exfiltration detection framework.- Web Usages Mining in automatic detection of Learning Style in Personalized e-Learning System.

Автор: Peter Stavroulakis
Название: Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications
ISBN: 364262281X ISBN-13(EAN): 9783642622816
Издательство: Springer
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Цена: 139750.00 T
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Описание: For the first time, this highly interdisciplinary book covers the applications of neuro-fuzzy and fuzzy-neural scientific tools in a very wide area within the communications field. It deals with the important and modern areas of telecommunications amenable to such a treatment.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 0792395751 ISBN-13(EAN): 9780792395751
Издательство: Springer
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Цена: 213360.00 T
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Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.

Автор: Okyay Kaynak; Lotfi A. Zadeh; Burhan T?rksen; Imre
Название: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
ISBN: 3540640045 ISBN-13(EAN): 9783540640042
Издательство: Springer
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Цена: 241310.00 T
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Описание: This work considers the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning; the relations between them; and their fusion in industrial applications.

Автор: Okyay Kaynak; Lotfi A. Zadeh; Burhan T?rksen; Imre
Название: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
ISBN: 3642637965 ISBN-13(EAN): 9783642637964
Издательство: Springer
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Цена: 139750.00 T
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Описание: Proceedings of the NATO Advanced Study Institute on Soft Computing and Its Applications held at Manavgat, Antalya, Turkey, August 21-31, 1996

Автор: Mario Koeppen; Nikola K. Kasabov; George Coghill
Название: Advances in Neuro-Information Processing
ISBN: 3642030394 ISBN-13(EAN): 9783642030390
Издательство: Springer
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Цена: 149060.00 T
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Описание: The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008.

Автор: Asim Bhatti; Kendall H. Lee; Hamid Garmestani; Che
Название: Emerging Trends in Neuro Engineering and Neural Computation
ISBN: 9811039550 ISBN-13(EAN): 9789811039553
Издательство: Springer
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Цена: 139750.00 T
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Описание: Novel and Innovative Interfaces for Microelectrode Array (MEA) Systems.- Deep Brain Stimulation Devices.- Optogenetics Stimulation Technologies.- Micro-Electromechanical (MEM) Systems.- Neuroimaging for Biomarkers Detection.- Information Acquisition and Processing of Data.- Signal Processing and Pattern Analysis.- Neural Computation and Classification.

Автор: Kacprzyk
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems
ISBN: 3319403125 ISBN-13(EAN): 9783319403120
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
Издательство: Springer
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Цена: 65210.00 T
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Автор: Ronald R. Yager; Lotfi A. Zadeh
Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems
ISBN: 1461366194 ISBN-13(EAN): 9781461366195
Издательство: Springer
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Цена: 186330.00 T
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Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.