Books in Artificial intelligence

Neural Network Systems Techniques and Applications

1st Edition
Volume 7
December 11, 1997
Cornelius T. Leondes
English
eBook
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The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies. Control and Dynamic Systems covers the important topics of highly effective Orthogonal Activation Function Based Neural Network System Architecture, multi-layer recurrent neural networks for synthesizing and implementing real-time linear control,adaptive control of unknown nonlinear dynamical systems, Optimal Tracking Neural Controller techniques, a consideration of unified approximation theory and applications, techniques for the determination of multi-variable nonlinear model structures for dynamic systems with a detailed treatment of relevant system model input determination, High Order Neural Networks and Recurrent High Order Neural Networks, High Order Moment Neural Array Systems, Online Learning Neural Network controllers, and Radial Bias Function techniques.

Implementation Techniques

1st Edition
Volume 3
November 13, 1997
Cornelius T. Leondes
Cornelius T. Leondes
English
Hardback
9 7 8 0 1 2 4 4 3 8 6 3 7
eBook
9 7 8 0 0 8 0 5 5 1 8 2 1

This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference.

Optimization Techniques

1st Edition
Volume 2
October 31, 1997
Cornelius T. Leondes
English
eBook
9 7 8 0 0 8 0 5 5 1 3 5 7

Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimiz... issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering.

Algorithms and Architectures

1st Edition
Volume 1
October 13, 1997
Cornelius T. Leondes
Cornelius T. Leondes
English
Hardback
9 7 8 0 1 2 4 4 3 8 6 1 3
eBook
9 7 8 0 0 8 0 4 9 8 9 8 0

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.

Contextual Design

1st Edition
September 1, 1997
Karen Holtzblatt + 1 more
English
eBook
9 7 8 0 0 8 0 5 0 3 0 4 2

This book introduces a customer-centered approach to business by showing how data gathered from people while they work can drive the definition of a product or process while supporting the needs of teams and their organizations. This is a practical, hands-on guide for anyone trying to design systems that reflect the way customers want to do their work. The authors developed Contextual Design, the method discussed here, through their work with teams struggling to design products and internal systems. In this book, you'll find the underlying principles of the method and how to apply them to different problems, constraints, and organizational situations.Contextua... Design enables you to+ gather detailed data about how people work and use systems + develop a coherent picture of a whole customer population + generate systems designs from a knowledge of customer work+ diagram a set of existing systems, showing their relationships, inconsistencies, redundancies, and omissions

Neural Systems for Robotics

1st Edition
April 10, 1997
Omid Omidvar + 1 more
English
eBook
9 7 8 0 0 8 0 9 2 5 0 9 7

Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance.

Intelligent Environments

1st Edition
March 20, 1997
P. Droege
English
eBook
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The environment, as modified and created by people, is largely about the use of information, its generation and exchange. How do recent innovations in the technologies of information management and communication affect our use of space and place, and the way we perceive and think about our surroundings?This volume provides an international, exploratory forum for the complex phenomenon of new information and communication technology as it permeates and transforms our physical world, and our relation to it: the architectural definition of our surrounding, geographical space, urban form and immediate habitats. This book is a reader, an attempt at registering disciplinary changes in context, at tracing subtexts for which most mainstream disciplines have no established language. The project is to give voice to an emerging meta-discipline that has its logic across the specializations.A wide range of professionals and academics report findings, views and ideas. Together, they describe the architecture of a postmodern paradigm: how swiftly mutating the proliferating technology applications have begun to interact with the construction and reading of physical space in architecture, economics, geography, history, planning, social sciences, transport, visual art - but also in the newer domains that have joined this spectrum through the very nature of their impacts: information technology and telecommunications.T... space navigated in this volume is vast, both in physical terms and in its virtual and analogous form. It ranges from the space that immediately encompasses, or is simulated to encompass, the human body - as in buildings and virtual tectonics - to that of towns and regions. We stay clear of molecular-scale space, and of dimensions that are larger than earth.

Admissibility of Logical Inference Rules

1st Edition
Volume 136
March 14, 1997
V.V. Rybakov
English
eBook
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The aim of this book is to present the fundamental theoretical results concerning inference rules in deductive formal systems. Primary attention is focused on:• admissible or permissible inference rules• the derivability of the admissible inference rules• the structural completeness of logics• the bases for admissible and valid inference rules.There is particular emphasis on propositional non-standard logics (primary, superintuitionistic and modal logics) but general logical consequence relations and classical first-order theories are also considered.The book is basically self-contained and special attention has been made to present the material in a convenient manner for the reader. Proofs of results, many of which are not readily available elsewhere, are also included.The book is written at a level appropriate for first-year graduate students in mathematics or computer science. Although some knowledge of elementary logic and universal algebra are necessary, the first chapter includes all the results from universal algebra and logic that the reader needs. For graduate students in mathematics and computer science the book is an excellent textbook.

Neural Systems for Control

1st Edition
February 12, 1997
Omid Omidvar + 1 more
English
eBook
9 7 8 0 0 8 0 5 3 7 3 9 9

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance.

Parallel Processing for Artificial Intelligence 3

1st Edition
Volume 20
February 10, 1997
J. Geller + 2 more
English
eBook
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The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems

Life Sciences

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