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Building Neural Networks
Organized by application areas, rather than by specific network architectures or learning algorithms, Building Neural Networks shows why certain networks are more suitable than others for solving specific kinds of problems. Skapura also reviews principles of neural information processing and furnishes an operations summary of the most popular neural-network processing models.
Cognitive Foundations of Linguistic Usage Patterns
The volume presents an up-to-date collection of methodologically sensitive contributions providing mainly enthusiastic, at times also critical support for the cognitive-linguistic enterprise. The book is important for the advancement of cognitive linguistics because the contributions demonstrate the seriousness of its ambitions to develop into a set of testable linguistic approaches. For the same reason, the volume is a contribution to our understanding of language in general, since it puts a promising modern approach on firmer ground. Assets of the book include the wide range of linguistic phenomena studied (individual concepts, fundamental semantic problems like vagueness and polysemy, gra...
Nonlinear Electromagnetic Systems
The book covers classical and practical approaches to electromagnetic field solutions in magnetic devices. The following topics are addressed: Advanced computional techniques; Intelligent computer aided design; Magnetic materials; Inverse problems; Magnetic sensors and transducers; Performance and optimisation of devices; Applications to electronic systems; Modelling of non-linear systems and other related topics. This volume presents 200 of the best articles presented at the International Symposium on Non-Linear Electromagnetic Systems (ISEM in Cardiff, Wales). The previous ISEM papers were published in the successful volume Advanced Computational and Design Techniques in Applied Electromag...
Intelligent Techniques and Soft Computing for Nuclear Science and Engineering
This book is divided into three parts. The first part, ?Mathematical Tools and New Developments?, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, ?Intelligent Engineering Applications?, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?Nuclear Engineering Applications?, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.
Nonlinear Dynamics, Mathematical Biology, and Social Science
This book is based on a series of lectures on mathematical biology, the essential dynamics of complex and crucially important social systems, and the unifying power of mathematics and nonlinear dynamical systems theory.
Bio-Inspired Applications of Connectionism
This book constitutes, together with its companion LNCS 2084, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and cognitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
Journal of the ACM.
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Knowledge-Based Intelligent Information and Engineering Systems 2
The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004.The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.
