Neural Information Processing Research And Development

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Neural Information Processing: Research and Development

Author : Jagath Chandana Rajapakse
Publisher : Springer
ISBN 13 : 3540399356
Total Pages : 487 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Neural Information Processing: Research and Development by : Jagath Chandana Rajapakse

Download or read book Neural Information Processing: Research and Development written by Jagath Chandana Rajapakse and published by Springer. This book was released on 2012-12-06 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.

Advances in Neural Information Processing Systems 8

Author : David S. Touretzky
Publisher : MIT Press
ISBN 13 : 9780262201070
Total Pages : 1128 pages
Book Rating : 4.2/5 (1 download)

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Book Synopsis Advances in Neural Information Processing Systems 8 by : David S. Touretzky

Download or read book Advances in Neural Information Processing Systems 8 written by David S. Touretzky and published by MIT Press. This book was released on 1996 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book

Neural Information Processing

Author : Tingwen Huang
Publisher : Springer
ISBN 13 : 364234481X
Total Pages : 730 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Neural Information Processing by : Tingwen Huang

Download or read book Neural Information Processing written by Tingwen Huang and published by Springer. This book was released on 2012-11-05 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Neural Information Processing Systems

Author : Thomas G. Dietterich
Publisher : MIT Press
ISBN 13 : 9780262042086
Total Pages : 856 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Advances in Neural Information Processing Systems by : Thomas G. Dietterich

Download or read book Advances in Neural Information Processing Systems written by Thomas G. Dietterich and published by MIT Press. This book was released on 2002-09 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2001 conference.

Neural Information Processing

Author : Nikil R. Pal
Publisher : Springer
ISBN 13 : 3540304991
Total Pages : 1397 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Neural Information Processing by : Nikil R. Pal

Download or read book Neural Information Processing written by Nikil R. Pal and published by Springer. This book was released on 2004-10-29 with total page 1397 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups.

An Introduction to Neural Information Processing

Author : Peiji Liang
Publisher : Springer
ISBN 13 : 9401773939
Total Pages : 338 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis An Introduction to Neural Information Processing by : Peiji Liang

Download or read book An Introduction to Neural Information Processing written by Peiji Liang and published by Springer. This book was released on 2015-12-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Neural information processing [electronic resource]

Author : Nikil R. Pal
Publisher : Springer Science & Business Media
ISBN 13 : 3540239316
Total Pages : 1397 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Neural information processing [electronic resource] by : Nikil R. Pal

Download or read book Neural information processing [electronic resource] written by Nikil R. Pal and published by Springer Science & Business Media. This book was released on 2004-11-18 with total page 1397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book constitutes the refereed proceedings of the 11th International Conference on Neural Information Processing, ICONIP 2004, held in Calcutta, India in November 2004. The 186 revised papers presented together with 24 invited contributions were carefully reviewed and selected from 470 submissions. The papers are organized in topical sections on computational neuroscience, complex-valued neural networks, self-organizing maps, evolutionary computation, control systems, cognitive science, adaptive intelligent systems, biometrics, brain-like computing, learning algorithms, novel neural architectures, image processing, pattern recognition, neuroinformatics, fuzzy systems, neuro-fuzzy systems, hybrid systems, feature analysis, independent component analysis, ant colony, neural network hardware, robotics, signal processing, support vector machine, time series prediction, and bioinformatics.

Neural Information Processing

Author : Bao-Liang Lu
Publisher : Springer
ISBN 13 : 3642249582
Total Pages : 799 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Neural Information Processing by : Bao-Liang Lu

Download or read book Neural Information Processing written by Bao-Liang Lu and published by Springer. This book was released on 2011-11-12 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Neural Information Processing

Author : Minho Lee
Publisher : Springer
ISBN 13 : 3642420540
Total Pages : 678 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Neural Information Processing by : Minho Lee

Download or read book Neural Information Processing written by Minho Lee and published by Springer. This book was released on 2013-10-29 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts 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 specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

From Neurons to Neighborhoods

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309069882
Total Pages : 610 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis From Neurons to Neighborhoods by : National Research Council

Download or read book From Neurons to Neighborhoods written by National Research Council and published by National Academies Press. This book was released on 2000-11-13 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: How we raise young children is one of today's most highly personalized and sharply politicized issues, in part because each of us can claim some level of "expertise." The debate has intensified as discoveries about our development-in the womb and in the first months and years-have reached the popular media. How can we use our burgeoning knowledge to assure the well-being of all young children, for their own sake as well as for the sake of our nation? Drawing from new findings, this book presents important conclusions about nature-versus-nurture, the impact of being born into a working family, the effect of politics on programs for children, the costs and benefits of intervention, and other issues. The committee issues a series of challenges to decision makers regarding the quality of child care, issues of racial and ethnic diversity, the integration of children's cognitive and emotional development, and more. Authoritative yet accessible, From Neurons to Neighborhoods presents the evidence about "brain wiring" and how kids learn to speak, think, and regulate their behavior. It examines the effect of the climate-family, child care, community-within which the child grows.

Neural Information Processing. Theory and Algorithms

Author : Kevin K.W. Wong
Publisher : Springer
ISBN 13 : 3642175376
Total Pages : 740 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Neural Information Processing. Theory and Algorithms by : Kevin K.W. Wong

Download or read book Neural Information Processing. Theory and Algorithms written by Kevin K.W. Wong and published by Springer. This book was released on 2010-11-18 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.

Funding a Revolution

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309062780
Total Pages : 300 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Funding a Revolution by : National Research Council

Download or read book Funding a Revolution written by National Research Council and published by National Academies Press. This book was released on 1999-02-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.

Neural Information Processing

Author : Minho Lee
Publisher : Springer
ISBN 13 : 3642420516
Total Pages : 655 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Neural Information Processing by : Minho Lee

Download or read book Neural Information Processing written by Minho Lee and published by Springer. This book was released on 2013-10-29 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts 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 specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

Innovations in Neural Information Paradigms and Applications

Author : Monica Bianchini
Publisher : Springer Science & Business Media
ISBN 13 : 3642040020
Total Pages : 297 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Innovations in Neural Information Paradigms and Applications by : Monica Bianchini

Download or read book Innovations in Neural Information Paradigms and Applications written by Monica Bianchini and published by Springer Science & Business Media. This book was released on 2009-10-16 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tremendous advances in all disciplines including engineering, science, health care, business, avionics, management, and so on, can also be attributed to the development of artificial intelligence paradigms. In fact, researchers are always interested in desi- ing machines which can mimic the human behaviour in a limited way. Therefore, the study of neural information processing paradigms have generated great interest among researchers, in that machine learning, borrowing features from human intelligence and applying them as algorithms in a computer friendly way, involves not only Mathem- ics and Computer Science but also Biology, Psychology, Cognition and Philosophy (among many other disciplines). Generally speaking, computers are fundamentally well-suited for performing au- matic computations, based on fixed, programmed rules, i.e. in facing efficiently and reliably monotonous tasks, often extremely time-consuming from a human point of view. Nevertheless, unlike humans, computers have troubles in understanding specific situations, and adapting to new working environments. Artificial intelligence and, in particular, machine learning techniques aim at improving computers behaviour in tackling such complex tasks. On the other hand, humans have an interesting approach to problem-solving, based on abstract thought, high-level deliberative reasoning and pattern recognition. Artificial intelligence can help us understanding this process by recreating it, then potentially enabling us to enhance it beyond our current capabilities.

Advances in Neural Information Processing Systems 7

Author : Gerald Tesauro
Publisher : MIT Press
ISBN 13 : 9780262201049
Total Pages : 1180 pages
Book Rating : 4.2/5 (1 download)

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Book Synopsis Advances in Neural Information Processing Systems 7 by : Gerald Tesauro

Download or read book Advances in Neural Information Processing Systems 7 written by Gerald Tesauro and published by MIT Press. This book was released on 1995 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications. Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.

Neural Networks for Natural Language Processing

Author : S., Sumathi
Publisher : IGI Global
ISBN 13 : 1799811611
Total Pages : 227 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Neural Networks for Natural Language Processing by : S., Sumathi

Download or read book Neural Networks for Natural Language Processing written by S., Sumathi and published by IGI Global. This book was released on 2019-11-29 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information in today’s advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.

Complex-Valued Neural Networks

Author : Akira Hirose
Publisher : Springer
ISBN 13 : 3642276326
Total Pages : 205 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Complex-Valued Neural Networks by : Akira Hirose

Download or read book Complex-Valued Neural Networks written by Akira Hirose and published by Springer. This book was released on 2012-03-22 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second enlarged and revised edition of the first successful monograph on complex-valued neural networks (CVNNs) published in 2006, which lends itself to graduate and undergraduate courses in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering, and other relevant fields. In the second edition the recent trends in CVNNs research are included, resulting in e.g. almost a doubled number of references. The parametron invented in 1954 is also referred to with discussion on analogy and disparity. Also various additional arguments on the advantages of the complex-valued neural networks enhancing the difference to real-valued neural networks are given in various sections. The book is useful for those beginning their studies, for instance, in adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, robotics inspired by human neural systems, and brain-like information processing, as well as interdisciplinary studies to realize comfortable society. It is also helpful to those who carry out research and development regarding new products and services at companies. The author wrote this book hoping in particular that it provides the readers with meaningful hints to make good use of neural networks in fully practical applications. The book emphasizes basic ideas and ways of thinking. Why do we need to consider neural networks that deal with complex numbers? What advantages do the complex-valued neural networks have? What is the origin of the advantages? In what areas do they develop principal applications? This book answers these questions by describing details and examples, which will inspire the readers with new ideas. The book is useful for those beginning their studies, for instance, in adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, robotics inspired by human neural systems, and brain-like information processing, as well as interdisciplinary studies to realize comfortable society. It is also helpful to those who carry out research and development regarding new products and services at companies. The author wrote this book hoping in particular that it provides the readers with meaningful hints to make good use of neural networks in fully practical applications. The book emphasizes basic ideas and ways of thinking. Why do we need to consider neural networks that deal with complex numbers? What advantages do the complex-valued neural networks have? What is the origin of the advantages? In what areas do they develop principal applications? This book answers these questions by describing details and examples, which will inspire the readers with new ideas.