Associative Networks

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Associative Networks

Nicholas V. Findler
Associative Networks Book PDF

Author : Nicholas V. Findler
Publisher : Academic Press
Page : 481 pages
File Size : 45,6 Mb
Release : 2014-05-10
Category : Reference
ISBN : 9781483263014

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Associative Networks by Nicholas V. Findler Pdf

Associative Networks: Representation and Use of Knowledge by Computers is a collection of papers that deals with knowledge base of programs exhibiting some operational aspects of understanding. One paper reviews network formalism that utilizes unobstructed semantics, independent of the domain to which it is applied, that is also capable of handling significant epistemological relationships of concept structuring, attribute/value inheritance, multiple descriptions. Another paper explains network notations that encode taxonomic information; general statements involving quantification; information about processes and procedures; the delineation of local contexts, as well as the relationships between syntactic units and their interpretations. One paper shows that networks can be designed to be intuitively and formally interpretable. Network formalisms are computer-oriented logics which become distinctly significant when access paths from concepts to propositions are built into them. One feature of a topical network organization is its potential for learning. If one topic is too large, it could be broken down where groupings of propositions under the split topics are then based on "co-usage" statistics. As an example, one paper cites the University of Maryland artificial intelligence (AI) group which investigates the control and interaction of a meaning-based parser. The group also analyzes the inferences and predictions from a number of levels based on mundane inferences of actions and causes that can be used in AI. The collection can be useful for computer engineers, computer programmers, mathematicians, and researchers who are working on artificial intelligence.

Industrial Applications of Neural Networks

Ian F. Croall,John P. Mason
Industrial Applications of Neural Networks Book PDF

Author : Ian F. Croall,John P. Mason
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 46,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642848377

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Industrial Applications of Neural Networks by Ian F. Croall,John P. Mason Pdf

Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.

Neural Networks

Raul Rojas
Neural Networks Book PDF

Author : Raul Rojas
Publisher : Springer Science & Business Media
Page : 511 pages
File Size : 49,7 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783642610684

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Neural Networks by Raul Rojas Pdf

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.

Pathfinder Associative Networks

Roger W. Schvaneveldt
Pathfinder Associative Networks Book PDF

Author : Roger W. Schvaneveldt
Publisher : Intellect (UK)
Page : 336 pages
File Size : 40,8 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018872591

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Pathfinder Associative Networks by Roger W. Schvaneveldt Pdf

This volume is a presentation of the theory and application of Pathfinder networks. These networks are derived from proximity data, and they have various applications in cognitive modelling, user-computer interface design, and knowledge engineering.

Fuzzy-Neuro Approach to Agent Applications

Raymond S.T. Lee
Fuzzy Neuro Approach to Agent Applications Book PDF

Author : Raymond S.T. Lee
Publisher : Springer Science & Business Media
Page : 386 pages
File Size : 44,6 Mb
Release : 2005-11-18
Category : Computers
ISBN : 9783540212034

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Fuzzy-Neuro Approach to Agent Applications by Raymond S.T. Lee Pdf

Complete course on Intelligent Agent or AI with focus on contemporary and latest AI technologies and development Companion technical reference for agent developers/researchers who would like to adopt the iJADK toolkit to develop their own agent-based applications and projects The advanced section on modern ontology and ontological agents serves as research literature for AI researchers who would like to explore the advanced AI/agent topics that involve the contemporary research on ontological agents and applied ontology

Network Science in Cognitive Psychology

Michael S. Vitevitch
Network Science in Cognitive Psychology Book PDF

Author : Michael S. Vitevitch
Publisher : Routledge
Page : 213 pages
File Size : 46,8 Mb
Release : 2019-11-26
Category : Psychology
ISBN : 9781000740684

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Network Science in Cognitive Psychology by Michael S. Vitevitch Pdf

This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.

Artificial Neural Networks - ICANN 96

Christoph von der Malsburg
Artificial Neural Networks ICANN 96 Book PDF

Author : Christoph von der Malsburg
Publisher : Springer Science & Business Media
Page : 956 pages
File Size : 40,6 Mb
Release : 1996-07-10
Category : Computers
ISBN : 3540615105

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Artificial Neural Networks - ICANN 96 by Christoph von der Malsburg Pdf

This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996. The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.

Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling

Vladimir G. Ivancevic,Tijana T. Ivancevic
Neuro Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling Book PDF

Author : Vladimir G. Ivancevic,Tijana T. Ivancevic
Publisher : Springer Science & Business Media
Page : 738 pages
File Size : 50,5 Mb
Release : 2007-02-14
Category : Computers
ISBN : 9783540474630

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Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling by Vladimir G. Ivancevic,Tijana T. Ivancevic Pdf

Neuro–Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling" is a graduate–level monographic textbook. It represents a comprehensive introduction into both conceptual and rigorous brain and cognition modelling. It is devoted to understanding, prediction and control of the fundamental mechanisms of brain functioning. The reader will be provided with a scientific tool enabling him to perform a competitive research in brain and cognition modelling.

Neural Networks and Statistical Learning

Ke-Lin Du,M. N. S. Swamy
Neural Networks and Statistical Learning Book PDF

Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Springer Science & Business Media
Page : 834 pages
File Size : 46,6 Mb
Release : 2013-12-09
Category : Technology & Engineering
ISBN : 9781447155713

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Neural Networks and Statistical Learning by Ke-Lin Du,M. N. S. Swamy Pdf

Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Exploring Neural Networks with C#

Ryszard Tadeusiewicz,Rituparna Chaki,Nabendu Chaki
Exploring Neural Networks with C Book PDF

Author : Ryszard Tadeusiewicz,Rituparna Chaki,Nabendu Chaki
Publisher : CRC Press
Page : 302 pages
File Size : 40,8 Mb
Release : 2017-07-27
Category : Computers
ISBN : 9781498760379

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Exploring Neural Networks with C# by Ryszard Tadeusiewicz,Rituparna Chaki,Nabendu Chaki Pdf

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks

Principles of Computational Modelling in Neuroscience

David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Principles of Computational Modelling in Neuroscience Book PDF

Author : David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Publisher : Cambridge University Press
Page : 553 pages
File Size : 51,7 Mb
Release : 2023-10-05
Category : Science
ISBN : 9781108483148

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Principles of Computational Modelling in Neuroscience by David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw Pdf

Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

Fundamentals of Computational Neuroscience

Thomas Trappenberg
Fundamentals of Computational Neuroscience Book PDF

Author : Thomas Trappenberg
Publisher : Oxford University Press
Page : 417 pages
File Size : 50,5 Mb
Release : 2010
Category : Mathematics
ISBN : 9780199568413

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Fundamentals of Computational Neuroscience by Thomas Trappenberg Pdf

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Associative Memory

T. Kohonen
Associative Memory Book PDF

Author : T. Kohonen
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642963841

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Associative Memory by T. Kohonen Pdf

About the Scope of This Text This book contains two types of material ~ first, the many divergent and often diffuse meanings given to the concepts of association, associative memory, and associative recaZZ are expounded. A review of this kind was felt necessary because there apparently does not exist any single monograph which could serve as a reference to these topics. But the presentation of the main body of this text is motivated by quite other reasons: in recent years, plenty of interesting mathematical and system-theoretical material has been published which makes it possible to gain a view of associative memory which is different from the conventional abstract and computationally oriented approaches. It seems that the basic operation of associative memory, the storage of information together with the relations or links between the data items, and the selective recall of stored information relative to a piece of key or cue information presented, is not restricted to certain computer-technological implementations but can also be reflected in more general mathematically describable processes in certain physical or other systems, especially in their adaptive state changes. It further seems that some generally known forms of associative memory, namely, certain computer technological artifacts, or abstract systems of concepts or data, are in fact special representations of a class of processes characterized as associative memory.

Partitioned Representations

J. Dinsmore
Partitioned Representations Book PDF

Author : J. Dinsmore
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 49,6 Mb
Release : 2013-03-07
Category : Computers
ISBN : 9789401135740

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Partitioned Representations by J. Dinsmore Pdf

Cognitive science is a field that began with the realization that researchers in varied disciplines-psychology, artificial intelligence, linguistics, philosophy, formal semantics, neuroscience, and others-had taken on a common set of problems in representation and meaning, in reasoning and language. Nevertheless, cognitive science as a whole enjoys no common methodology or theoretical framework, and is in danger of becoming even more fragmented with time. There are two reasons for this. First, cognitive science is built on existing methodologies that have different historical origins. AB a result, the psychologist's truth is different from the linguist's truth. The artificial intelligence researcher's truth is different from the philosopher's truth. The neuroscientist's truth is different from the formal semanticist's truth. All too often there is little or no recognition of the relevance of work in other disciplines to one's own concerns. Second, cognitive scientists tend to develop theories around isolated problems. For instance, there are theories about how humans categorize concepts, about how humans analyze linguistic expressions syntactically, about how the English tense system works semantically, about how humans reason about space or reason about time, about how goal-directed problem solving occurs, about how the brain computes, and so on.

Modelling High-level Cognitive Processes

Richard P. Cooper With Contributi,Peter G. Yule,John Fox,David W. Glasspool,Richard P. Cooper
Modelling High level Cognitive Processes Book PDF

Author : Richard P. Cooper With Contributi,Peter G. Yule,John Fox,David W. Glasspool,Richard P. Cooper
Publisher : Psychology Press
Page : 419 pages
File Size : 51,9 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781135646820

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Modelling High-level Cognitive Processes by Richard P. Cooper With Contributi,Peter G. Yule,John Fox,David W. Glasspool,Richard P. Cooper Pdf

This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.