Kohonen Maps

Download Kohonen Maps full books in PDF, epub, and Kindle. Read online Kohonen Maps ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Self-Organizing Maps

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642976107
Total Pages : 372 pages
Book Rating : 4.6/5 (429 download)

DOWNLOAD NOW!

Book Synopsis Self-Organizing Maps by : Teuvo Kohonen

Download or read book Self-Organizing Maps written by Teuvo Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Kohonen Maps

Author : E. Oja
Publisher : Elsevier
ISBN 13 : 9780080535296
Total Pages : 400 pages
Book Rating : 4.5/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Kohonen Maps by : E. Oja

Download or read book Kohonen Maps written by E. Oja and published by Elsevier. This book was released on 1999-07-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm. The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed.

Self-Organizing Maps

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
ISBN 13 : 3642569277
Total Pages : 514 pages
Book Rating : 4.6/5 (425 download)

DOWNLOAD NOW!

Book Synopsis Self-Organizing Maps by : Teuvo Kohonen

Download or read book Self-Organizing Maps written by Teuvo Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real world problems. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.

Applications of Self-Organizing Maps

Author : Magnus Johnsson
Publisher : BoD – Books on Demand
ISBN 13 : 953510862X
Total Pages : 302 pages
Book Rating : 4.5/5 (351 download)

DOWNLOAD NOW!

Book Synopsis Applications of Self-Organizing Maps by : Magnus Johnsson

Download or read book Applications of Self-Organizing Maps written by Magnus Johnsson and published by BoD – Books on Demand. This book was released on 2012-11-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The self-organizing map, first described by the Finnish scientist Teuvo Kohonen, can by applied to a wide range of fields. This book is about such applications, i.e. how the original self-organizing map as well as variants and extensions of it can be applied in different fields. In fourteen chapters, a wide range of such applications is discussed. To name a few, these applications include the analysis of financial stability, the fault diagnosis of plants, the creation of well-composed heterogeneous teams and the application of the self-organizing map to the atmospheric sciences.

Advances in Intelligent Networking and Collaborative Systems

Author : Leonard Barolli
Publisher : Springer
ISBN 13 : 3030290352
Total Pages : 599 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Advances in Intelligent Networking and Collaborative Systems by : Leonard Barolli

Download or read book Advances in Intelligent Networking and Collaborative Systems written by Leonard Barolli and published by Springer. This book was released on 2019-08-14 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest innovative research findings, methods, and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, and secure intelligent cloud systems. Offering both theoretical and practical perspectives, it also reveals synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. With the rapid development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that places people at the very centre of networks, making full use of their connections, relations, and collaboration. Social networks also play a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, communities and organizations strongly leverage intelligent networking and collaborative systems through a wide variety of formal and informal electronic relations, such as business-to-business, peer-to-peer, and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, while the latest powerful technologies based on grid and wireless infrastructures as well as cloud computing are currently greatly enhancing collaborative and networking applications, they are also facing new challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, in the long term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning.

Self-organizing Map Formation

Author : Klaus Obermayer
Publisher : MIT Press
ISBN 13 : 9780262650601
Total Pages : 472 pages
Book Rating : 4.6/5 (56 download)

DOWNLOAD NOW!

Book Synopsis Self-organizing Map Formation by : Klaus Obermayer

Download or read book Self-organizing Map Formation written by Klaus Obermayer and published by MIT Press. This book was released on 2001 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of self-organizing map formation, including recent developments. Self-organizing maps form a branch of unsupervised learning, which is the study of what can be determined about the statistical properties of input data without explicit feedback from a teacher. The articles are drawn from the journal Neural Computation.The book consists of five sections. The first section looks at attempts to model the organization of cortical maps and at the theory and applications of the related artificial neural network algorithms. The second section analyzes topographic maps and their formation via objective functions. The third section discusses cortical maps of stimulus features. The fourth section discusses self-organizing maps for unsupervised data analysis. The fifth section discusses extensions of self-organizing maps, including two surprising applications of mapping algorithms to standard computer science problems: combinatorial optimization and sorting. Contributors J. J. Atick, H. G. Barrow, H. U. Bauer, C. M. Bishop, H. J. Bray, J. Bruske, J. M. L. Budd, M. Budinich, V. Cherkassky, J. Cowan, R. Durbin, E. Erwin, G. J. Goodhill, T. Graepel, D. Grier, S. Kaski, T. Kohonen, H. Lappalainen, Z. Li, J. Lin, R. Linsker, S. P. Luttrell, D. J. C. MacKay, K. D. Miller, G. Mitchison, F. Mulier, K. Obermayer, C. Piepenbrock, H. Ritter, K. Schulten, T. J. Sejnowski, S. Smirnakis, G. Sommer, M. Svensen, R. Szeliski, A. Utsugi, C. K. I. Williams, L. Wiskott, L. Xu, A. Yuille, J. Zhang

An Introduction to Biological and Artificial Neural Networks for Pattern Recognition

Author : Steven K. Rogers
Publisher : SPIE Press
ISBN 13 : 9780819405340
Total Pages : 240 pages
Book Rating : 4.4/5 (53 download)

DOWNLOAD NOW!

Book Synopsis An Introduction to Biological and Artificial Neural Networks for Pattern Recognition by : Steven K. Rogers

Download or read book An Introduction to Biological and Artificial Neural Networks for Pattern Recognition written by Steven K. Rogers and published by SPIE Press. This book was released on 1991 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Statistical Analysis and Data Mining Applications

Author : Robert Nisbet
Publisher : Academic Press
ISBN 13 : 0080912036
Total Pages : 859 pages
Book Rating : 4.0/5 (89 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Robert Nisbet

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Robert Nisbet and published by Academic Press. This book was released on 2009-05-14 with total page 859 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

Neural Networks

Author : M. Ananda Rao
Publisher : Alpha Science Int'l Ltd.
ISBN 13 : 9781842651315
Total Pages : 260 pages
Book Rating : 4.6/5 (513 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks by : M. Ananda Rao

Download or read book Neural Networks written by M. Ananda Rao and published by Alpha Science Int'l Ltd.. This book was released on 2003 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Network Computing for the Electric Power Industry

Author : Dejan J. Sobajic
Publisher : Psychology Press
ISBN 13 : 1134781903
Total Pages : 237 pages
Book Rating : 4.1/5 (347 download)

DOWNLOAD NOW!

Book Synopsis Neural Network Computing for the Electric Power Industry by : Dejan J. Sobajic

Download or read book Neural Network Computing for the Electric Power Industry written by Dejan J. Sobajic and published by Psychology Press. This book was released on 2013-06-17 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power system computing with neural networks is one of the fastest growing fields in the history of power system engineering. Since 1988, a considerable amount of work has been done in investigating computing capabilities of neural networks and understanding their relevance to providing efficient solutions for outstanding complex problems of the electric power industry. A principal objective of a power utility is to provide electric energy to its customers in a secure, reliable and economic manner. Toward this aim, utility personnel are engaged in a variety of activities in areas of supervisory control and monitoring, evaluation of operating conditions, operation planning and scheduling, system development, equipment testing, etc. Over the past decades significant advances have been made in the development of new concepts, design of hardware and software systems, and implementation of solid-state devices which all contributed to the steadily improving power system performance that we are experiencing today. Advanced information processing technologies played an important role in these development efforts. Members of the Special Interest Group for Power Engineering of the INNS recognized the need for bringing together leading researchers in the field of neurocomputing with experts from power utilities and manufacturing companies to assess the current state of affairs and to explore the directions of further research and practice. This book is based on The Summer Workshop on Neural Network Computing for the Electric Power Industry which brought together approximately forty specialists with backgrounds in power engineering, system operation and planning, neural network theory and AI systems design. An informal and highly inspiring atmosphere of the workshop facilitated open discussion and exchange of expertise between the participants.

Tutorials in Chemoinformatics

Author : Alexandre Varnek
Publisher : John Wiley & Sons
ISBN 13 : 1119137985
Total Pages : 488 pages
Book Rating : 4.1/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Tutorials in Chemoinformatics by : Alexandre Varnek

Download or read book Tutorials in Chemoinformatics written by Alexandre Varnek and published by John Wiley & Sons. This book was released on 2017-06-22 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 30 tutorials and more than 100 exercises in chemoinformatics, supported by online software and data sets Chemoinformatics is widely used in both academic and industrial chemical and biochemical research worldwide. Yet, until this unique guide, there were no books offering practical exercises in chemoinformatics methods. Tutorials in Chemoinformatics contains more than 100 exercises in 30 tutorials exploring key topics and methods in the field. It takes an applied approach to the subject with a strong emphasis on problem-solving and computational methodologies. Each tutorial is self-contained and contains exercises for students to work through using a variety of software packages. The majority of the tutorials are divided into three sections devoted to theoretical background, algorithm description and software applications, respectively, with the latter section providing step-by-step software instructions. Throughout, three types of software tools are used: in-house programs developed by the authors, open-source programs and commercial programs which are available for free or at a modest cost to academics. The in-house software and data sets are available on a dedicated companion website. Key topics and methods covered in Tutorials in Chemoinformatics include: Data curation and standardization Development and use of chemical databases Structure encoding by molecular descriptors, text strings and binary fingerprints The design of diverse and focused libraries Chemical data analysis and visualization Structure-property/activity modeling (QSAR/QSPR) Ensemble modeling approaches, including bagging, boosting, stacking and random subspaces 3D pharmacophores modeling and pharmacological profiling using shape analysis Protein-ligand docking Implementation of algorithms in a high-level programming language Tutorials in Chemoinformatics is an ideal supplementary text for advanced undergraduate and graduate courses in chemoinformatics, bioinformatics, computational chemistry, computational biology, medicinal chemistry and biochemistry. It is also a valuable working resource for medicinal chemists, academic researchers and industrial chemists looking to enhance their chemoinformatics skills.

Soft Computing for Knowledge Discovery and Data Mining

Author : Oded Maimon
Publisher : Springer Science & Business Media
ISBN 13 : 038769935X
Total Pages : 431 pages
Book Rating : 4.3/5 (876 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing for Knowledge Discovery and Data Mining by : Oded Maimon

Download or read book Soft Computing for Knowledge Discovery and Data Mining written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2007-10-25 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.

Artificial Neural Networks

Author : P.J. Braspenning
Publisher : Springer Science & Business Media
ISBN 13 : 9783540594888
Total Pages : 320 pages
Book Rating : 4.5/5 (948 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks by : P.J. Braspenning

Download or read book Artificial Neural Networks written by P.J. Braspenning and published by Springer Science & Business Media. This book was released on 1995-06-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data analysis, particularly in situations where other methods seem to fail. Theoretical insight is offered by examining the underlying mathematical principles in a detailed, yet clear and illuminating way. Practical experience is provided by discussing several real-world applications in such areas as control, optimization, pattern recognition, software engineering, robotics, operations research, and CAM.

Cognitive Mapping

Author : Scott Freundschuh
Publisher : Routledge
ISBN 13 : 1317798074
Total Pages : 288 pages
Book Rating : 4.3/5 (177 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Mapping by : Scott Freundschuh

Download or read book Cognitive Mapping written by Scott Freundschuh and published by Routledge. This book was released on 2018-10-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important work brings together international academics from a variety of disciplines to explore the topic of spatial cognition on a 'geographic' scale. It provides an overview of the historical origins of the subject, a description of current debates and suggests directions for future research.

Inference and Learning from Data

Author : Ali H. Sayed
Publisher : Cambridge University Press
ISBN 13 : 100921828X
Total Pages : 1081 pages
Book Rating : 4.0/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Inference and Learning from Data by : Ali H. Sayed

Download or read book Inference and Learning from Data written by Ali H. Sayed and published by Cambridge University Press. This book was released on 2022-11-30 with total page 1081 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover data-driven learning methods with the third volume of this extraordinary three-volume set.

Data Mining Using SAS Enterprise Miner

Author : Randall Matignon
Publisher : John Wiley & Sons
ISBN 13 : 0470171421
Total Pages : 576 pages
Book Rating : 4.4/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Data Mining Using SAS Enterprise Miner by : Randall Matignon

Download or read book Data Mining Using SAS Enterprise Miner written by Randall Matignon and published by John Wiley & Sons. This book was released on 2007-07-27 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that explores every node relationship and pattern that is a part of the Enterprise Miner software with regard to SEMMA design and data mining analysis. Data Mining Using SAS Enterprise Miner introduces readers to a wide variety of data mining techniques and explains the purpose of-and reasoning behind-every node that is a part of the Enterprise Miner software. Each chapter begins with a short introduction to the assortment of statistics that is generated from the various nodes in SAS Enterprise Miner v4.3, followed by detailed explanations of configuration settings that are located within each node. Features of the book include: The exploration of node relationships and patterns using data from an assortment of computations, charts, and graphs commonly used in SAS procedures A step-by-step approach to each node discussion, along with an assortment of illustrations that acquaint the reader with the SAS Enterprise Miner working environment Descriptive detail of the powerful Score node and associated SAS code, which showcases the important of managing, editing, executing, and creating custom-designed Score code for the benefit of fair and comprehensive business decision-making Complete coverage of the wide variety of statistical techniques that can be performed using the SEMMA nodes An accompanying Web site that provides downloadable Score code, training code, and data sets for further implementation, manipulation, and interpretation as well as SAS/IML software programming code This book is a well-crafted study guide on the various methods employed to randomly sample, partition, graph, transform, filter, impute, replace, cluster, and process data as well as interactively group and iteratively process data while performing a wide variety of modeling techniques within the process flow of the SAS Enterprise Miner software. Data Mining Using SAS Enterprise Miner is suitable as a supplemental text for advanced undergraduate and graduate students of statistics and computer science and is also an invaluable, all-encompassing guide to data mining for novice statisticians and experts alike.

Handbook of Neural Computation

Author : E Fiesler
Publisher : CRC Press
ISBN 13 : 1420050648
Total Pages : 1094 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Neural Computation by : E Fiesler

Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl