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Fuzzy Logic and Soft Computing, Guoqing Chen; Mingsheng Ying; Kai-Yuan Cai


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Цена: 30606.00р.
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Автор: Guoqing Chen; Mingsheng Ying; Kai-Yuan Cai
Название:  Fuzzy Logic and Soft Computing
ISBN: 9780792386506
Издательство: Springer
Классификация:


ISBN-10: 0792386507
Обложка/Формат: Hardcover
Страницы: 294
Вес: 0.62 кг.
Дата издания: 30.09.1999
Серия: The International Series on Asian Studies in Computer and Information Science
Язык: English
Размер: 234 x 156 x 19
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Describes possibilistic logic in decision analysis, fuzzy dynamic programming in optimization, linguistic modifiers for word computation, and theoretical treatments and applications of fuzzy reasoning. This book focuses on stable adaptive fuzzy control systems, partial evaluations and fuzzy reasoning, and fuzzy wavelet neural networks.


Handwriting Recognition / Soft Computing and Probabilistic Approaches

Автор: Liu Zhi-Qiang, Cai Jin-Hai, Buse Richard
Название: Handwriting Recognition / Soft Computing and Probabilistic Approaches
ISBN: 3540401776 ISBN-13(EAN): 9783540401773
Издательство: Springer
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Цена: 9782.00 р. 13974.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.

Lectures on Soft Computing and Fuzzy Logic

Автор: Antonio Di Nola; Giangiacomo Gerla
Название: Lectures on Soft Computing and Fuzzy Logic
ISBN: 3790813966 ISBN-13(EAN): 9783790813968
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This volume offers a picture, as a work in progress, of the effort that is coming in founding and developing soft computing techniques. It contains papers aimed to report results containing genuinely logical aspects of fuzzy logic.

Fuzzy Systems and Soft Computing in Nuclear Engineering

Автор: Da Ruan
Название: Fuzzy Systems and Soft Computing in Nuclear Engineering
ISBN: 379081251X ISBN-13(EAN): 9783790812510
Издательство: Springer
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Цена: 30606.00 р.
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Описание: A collection of 21 contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering.

Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz
Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
ISBN: 3540769722 ISBN-13(EAN): 9783540769729
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Since their inception, fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. This title offers a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.

Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)

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: 26552.00 р.
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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.


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