Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl Название: Multidisciplinary Approaches to Neural Computing ISBN: 3319569031 ISBN-13(EAN): 9783319569031 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Redefining Information Processing Through Neural Computing Models.- A Neural Approach for Hybrid Events Discrimination at Stomboli Volcano.- Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.- Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles.- Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach.- Effective Blind Source Separation Based on the Adam Algorithm.- Depth-based Hand Pose Recognizer Using Learning Vector Quantization.- Correlation Dimension-Based Recognition of Simple Juggling Movements.- Cortical Phase Transitions as an Effect of Topology of Neural Network.- Fall Detection by Using an Innovative Floor Acoustic Sensor.- An improved Hilbert-Huang Transform for Non-Linear and Time-Variant Signals.- Privacy-preserving Data Mining for Distributed Medical Scenarios.- Rule Base Reduction Using Conflicting and Reinforcement Measures.- An Application of Internet Traffic Prediction with Deep Neural Network.- Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.- Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.- A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context.- Advanced Neural Networks Systems for Unbalanced Industrial Datasets.- Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach.- A Neural Network-Based Approach for Steam Turbine Monitoring.- A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.- SOM-Based Analysis to Relate Non-Uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions.- Vision-Based Mapping and Micro-Localization of Industrial Components in the Fields of Laser Technology.- When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach.- Artificial Entities or Moral Agents? How AI is Changing Human Evolution.
Автор: Rafael Bello; Rafael Falc?n; Witold Pedrycz Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets ISBN: 3642095682 ISBN-13(EAN): 9783642095689 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.
Автор: Chien-Chung Chan; Jerzy W. Grzymala-Busse; Wojciec Название: Rough Sets and Current Trends in Computing ISBN: 3540884238 ISBN-13(EAN): 9783540884231 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008, held in Akron, OH, USA, in October 2008. This book presents the papers that are organized in topical sections on logical and mathematical foundations, data analysis, data mining, and decision support systems.
Автор: Hiroshi Sakai; Mihir Chakraborty; Aboul-Ella Hassa Название: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing ISBN: 3642106455 ISBN-13(EAN): 9783642106453 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009.
Описание: This book is the first text of its kind that presents both the traditional and the modern aspects of dialysis modeling and control in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. It explains concepts in a clear, matter-of-fact style. The material of this book will be useful to advanced undergraduate and graduate biomedical engineering students. Also, researchers and practitioners in the field of dialysis, control systems, soft computing will benefit from it. In order to make the reader aware of the applied side of the subject, the book includes: Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract. Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills. More than 1000 questions to give the readers a better insight to the subject. Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world. latest information, including latest research surveys and references related to the subjects
Автор: Gustavo Deco; Dragan Obradovic Название: An Information-Theoretic Approach to Neural Computing ISBN: 0387946667 ISBN-13(EAN): 9780387946665 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neural networks provide powerful technology to model and control nonlinear and complex systems. This book presents a detailed formulation of neural networks from the information-theoretic viewpoint, showing how this perspective provides insights into the design theory of neural networks.
Автор: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing ISBN: 3540286535 ISBN-13(EAN): 9783540286530 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part of a two volume set, this title includes information related to rough set approximations, rough-algebraic foundations, feature selection and reduction, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, probabilistic network models, granular computing, and more.
Автор: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh Название: Data Mining, Rough Sets and Granular Computing ISBN: 3790825085 ISBN-13(EAN): 9783790825084 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality.
Автор: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.
Автор: Gustavo Deco; Dragan Obradovic Название: An Information-Theoretic Approach to Neural Computing ISBN: 1461284694 ISBN-13(EAN): 9781461284697 Издательство: Springer Рейтинг: Цена: 7406.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A detailed formulation of neural networks from the information-theoretic viewpoint. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained.
Автор: Dominik Slezak; JingTao Yao; James F. Peters; Wojc Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing ISBN: 3540286608 ISBN-13(EAN): 9783540286608 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers from the proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005 in 2 volumes.
Автор: Masahiro Inuiguchi; Shusaku Tsumoto; Shoji Hirano Название: Rough Set Theory and Granular Computing ISBN: 3642056148 ISBN-13(EAN): 9783642056147 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. Furthermore application of rough sets in data mining, in particular, rule induction methods based on rough set theory is presented and discussed.
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