Advances in Self-Organizing Maps, Pablo A. Est?vez; Jos? C. Pr?ncipe; Pablo Zegers
Автор: Thomas Villmann; Frank-Michael Schleif; Marika Kad Название: Advances in Self-Organizing Maps and Learning Vector Quantization ISBN: 3319076949 ISBN-13(EAN): 9783319076942 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need.- Dynamic formation of self-organizing maps.- MS-SOM: Magnitude Sensitive Self-Organizing Maps.- Bagged Kernel SOM.- Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method.- Short review of dimensionality reduction methods based on stochastic neighbour embedding.- Attention based Classification Learning in GLVQ and Asymmetric Classification Error Assessment.-Visualization and Classification of DNA sequences using Pareto learning Self Organizing Maps based on Frequency and Correlation Coefficient.- Probabilistic prototype classification using t-norms.- Rejection Strategies for Learning Vector Quantization - a Comparison of Probabilistic and Deterministic Approaches.- Comparison of spectrum cluster analysis with PCA and spherical SOM and related issues not amenable to PCA.- Exploiting the structures of the U-matrix.- Partial Mutual Information for Classification Analysis of Gene expression Data by Learning Vector Quantization.- Composition of Learning Patterns using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier.- Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem.- A Survey of SOM-based Active Contour Models for Image Segmentation.- Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words.- Prototype-based classifiers and their application in the life sciences.- Generative versus discriminative prototype based classification.- Some room for GLVQ: Semantic Labeling of occupancy grid maps.- Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring.- RFSOM - Extending Self-Organizing feature Maps with adaptive metrics to combine spatial and textural features for body pose estimation.- Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved.- Classification of Hyperspectral Data.- The Sky Is Not the Limit.- Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study.- A Concurrent SOM-based Chan-Vese Model for Image Segmentation.- Text mining of life-philosophicl insights.- SOMbrero: an R Package for Numeric and Non-numeric Self-Organizing Maps.- K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models.
Описание: There has been tremendous emphasis in unmanned aerial vehicles, both of fixed (airplanes) and rotary wing (vertical take off and landing, helicopters) types over the past ten years. Applications span both civilian and military domains, the latter being the most important at this stage.
Автор: Mikhail Prokopenko Название: Advances in Applied Self-Organizing Systems ISBN: 1447158997 ISBN-13(EAN): 9781447158998 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.
Автор: Mikhail Prokopenko Название: Advances in Applied Self-Organizing Systems ISBN: 1447151127 ISBN-13(EAN): 9781447151128 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.
Автор: Godfrey C Onwubolu Название: Hybrid Self-Organizing Modeling Systems ISBN: 3642015298 ISBN-13(EAN): 9783642015298 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book presents hybrids of some computational intelligence techniques and GMDH approach. It includes the description of GAME (Group Adaptive Models Evolution) algorithm.
Автор: Godfrey C Onwubolu Название: Hybrid Self-Organizing Modeling Systems ISBN: 3642101828 ISBN-13(EAN): 9783642101823 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.
Автор: Satoshi Murata; Haruhisa Kurokawa Название: Self-Organizing Robots ISBN: 4431547320 ISBN-13(EAN): 9784431547327 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the feasibility of creating self-organizing robots, particularly at the molecular level, within current mechanical engineering limitations. It covers relevant topics such as design philosophy and self-organization in biological systems.
Автор: Donald Davendra; Ivan Zelinka Название: Self-Organizing Migrating Algorithm ISBN: 3319281593 ISBN-13(EAN): 9783319281599 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.
Автор: Juan C. Burguillo Название: Self-organizing Coalitions for Managing Complexity ISBN: 3319698966 ISBN-13(EAN): 9783319698960 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book.
In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
Автор: Udo Seiffert Название: Self-Organizing Neural Networks ISBN: 3662003430 ISBN-13(EAN): 9783662003435 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the evolvability and robustness of an evolutionary GRN paradigm, in simple differentiated multicellularity and in evolving artificial `organisms` which grow and express an ontogeny from a single cell to a changing neighborhood of cells.
Автор: Thrasyvoulos Spyropoulos; Karin Anna Hummel Название: Self-Organizing Systems ISBN: 3642108644 ISBN-13(EAN): 9783642108648 Издательство: Springer Рейтинг: Цена: 9776.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 4th International Workshop on Self-Organizing Systems, IWSOS 2009, held in Zurich, Switzerland, in December 2009. The 14 revised full papers and 13 revised short papers presented were carefully selected from the 34 full and 27 short paper submissions.
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