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Author: Marc M. Van Hulle Publisher: Wiley-Interscience ISBN: Category : Computers Languages : en Pages : 296
Book Description
A new perspective on topographic map formation and the advantages of information-based learning The study of topographic map formation provides us with important tools for both biological modeling and statistical data modeling. Faithful Representations and Topographic Maps offers a unified, systematic survey of this rapidly evolving field, focusing on current knowledge and available techniques for topographic map formation. The author presents a cutting-edge, information-based learning strategy for developing equiprobabilistic topographic maps--that is, maps in which all neurons have an equal probability to be active--clearly demonstrating how this approach yields faithful representations and how it can be successfully applied in such areas as density estimation, regression, clustering, and feature extraction. The book begins with the standard approach of distortion-based learning, discussing the commonly used Self-Organizing Map (SOM) algorithm and other algorithms, and pointing out their inadequacy for developing equiprobabilistic maps. It then examines the advantages of information-based learning techniques, and finally introduces a new algorithm for equiprobabilistic topographic map formation using neurons with kernel-based response characteristics. The complete learning algorithms and simulation details are given throughout, along with comparative performance analysis tables and extensive references. Faithful Representations and Topographic Maps is an excellent, eye-opening guide for neural network researchers, industrial scientists involved in data mining, and anyone interested in self-organization and topographic maps.
Author: Marc M. Van Hulle Publisher: Wiley-Interscience ISBN: Category : Computers Languages : en Pages : 296
Book Description
A new perspective on topographic map formation and the advantages of information-based learning The study of topographic map formation provides us with important tools for both biological modeling and statistical data modeling. Faithful Representations and Topographic Maps offers a unified, systematic survey of this rapidly evolving field, focusing on current knowledge and available techniques for topographic map formation. The author presents a cutting-edge, information-based learning strategy for developing equiprobabilistic topographic maps--that is, maps in which all neurons have an equal probability to be active--clearly demonstrating how this approach yields faithful representations and how it can be successfully applied in such areas as density estimation, regression, clustering, and feature extraction. The book begins with the standard approach of distortion-based learning, discussing the commonly used Self-Organizing Map (SOM) algorithm and other algorithms, and pointing out their inadequacy for developing equiprobabilistic maps. It then examines the advantages of information-based learning techniques, and finally introduces a new algorithm for equiprobabilistic topographic map formation using neurons with kernel-based response characteristics. The complete learning algorithms and simulation details are given throughout, along with comparative performance analysis tables and extensive references. Faithful Representations and Topographic Maps is an excellent, eye-opening guide for neural network researchers, industrial scientists involved in data mining, and anyone interested in self-organization and topographic maps.
Author: John Fulcher Publisher: Springer Science & Business Media ISBN: 3540782923 Category : Computers Languages : en Pages : 1182
Book Description
Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.
Author: Paul Vogt Publisher: Springer Science & Business Media ISBN: 3540457690 Category : Computers Languages : en Pages : 245
Book Description
This book constitutes the refereed proceedings of the Third International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006. The book presents 12 revised full papers together with 5 invited papers. These focus on the evolution and emergence of language - a fast growing interdisciplinary research area touching such different disciplines as anthropology, linguistics, psychology, primatology, neuroscience, cognitive science and computer science.
Author: Wlodzislaw Duch Publisher: Springer Science & Business Media ISBN: 3540287558 Category : Computers Languages : en Pages : 1051
Book Description
The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation.
Author: Kohei Arai Publisher: Springer Nature ISBN: 3031280733 Category : Technology & Engineering Languages : en Pages : 927
Book Description
This book gathers the proceedings of the eighth Future of Information and Computing Conference, which was held successfully in virtual mode. It received a total of 369 paper submissions from renowned and budding scholars, academics, and distinguished members of the industry. The topics fanned across various fields involving computing, Internet of Things, data science, and artificial intelligence. Learned scholars from all walks of life assembled under one roof to share their unique, original, and breakthrough researches and paved a new technological path for the world. Many of the studies seek to change the face of the world itself. Their innovative thinking indeed aims to solve several gruesome problems in the field of communication, data science, ambient intelligence, networking, computing, security, and privacy. The authors have strived to render valuable pieces of study in this edition and hope to acquire enthusiastic support from the readers.
Author: Harald Maurer Publisher: BoD – Books on Demand ISBN: 3837021467 Category : Languages : en Pages : 98
Book Description
Das Buch stellt eine leicht überarbeitete Fassung meiner Studienarbeit dar, die ich im Fachbereich Informatik bei Prof. Dr. M. Bogdan im Wintersemester 2003/04 und im Sommersemester 2004 geschrieben habe. Es gibt erstmals einen umfassenden Überblick über die wichtigsten Architekturtypen der "Selbstorganisierende (Merkmals-)Karte" (engl."Self-Organizing (Feature) Map (SO(F)M))" des finnischen Ingenieurs Teuvo Kohonen, auch "Kohonen-Karte" genannt, die eine der bedeutendsten Modelle im Rahmen der Theorie der künstlichen Neuronalen Netzwerke darstellt. Es werden dabei die relevantesten Passagen aus den wichtigsten Artikeln der jeweiligen Autoren zitiert, die die zentralen Konzepte der diversen Architekturmodelle wiedergeben und dann zusammengefaßt und kommentiert.
Author: Tingwen Huang Publisher: Springer ISBN: 3642344755 Category : Computers Languages : en Pages : 708
Book Description
The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
Author: Mircea Gh. Negoita Publisher: Springer ISBN: 3540301348 Category : Computers Languages : en Pages : 962
Book Description
We were very pleased to once again extend to the delegates and, we are pleased to th say, our friends the warmest of welcomes to the 8 International Conference on Knowledge-Based Intelligent Information and Engineering Systems at Wellington - stitute of Technology in Wellington, New Zealand. The KES conferences attract a wide range of interest. The broad focus of the c- ference series is the theory and applications of computational intelligence and em- gent technologies. Once purely a research field, intelligent systems have advanced to the point where their abilities have been incorporated into many conventional appli- tion areas. The quest to encapsulate human knowledge and capabilities in domains such as reasoning, problem solving, sensory analysis, and other complex areas has been avidly pursued. This is because it has been demonstrated that these abilities have definite practical applications. The techniques long ago reached the point where they are being exploited to provide commercial advantages for companies and real beneficial effects on profits. KES 2004 provided a valuable mechanism for delegates to obtain a profound view of the latest intelligent systems research into a range of - gorithms, tools and techniques. KES 2004 also gave delegates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represents a uniquely valuable opportunity for - preciating the full spectrum of intelligent-systems activity and the “state of the art”.
Author: Guy de Trė Publisher: Springer ISBN: 3319301659 Category : Technology & Engineering Languages : en Pages : 347
Book Description
This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.
Author: Marc M. Van Hulle
Author: Marc M. Van Hulle
Author: John Fulcher
Author: Paul Vogt
Author: Nigel Allinson
Author: Wlodzislaw Duch
Author: Kohei Arai
Author: Harald Maurer
Author: Tingwen Huang
Author: Mircea Gh. Negoita
Author: Guy de Trė