Neural Network Learning and Expert Systems

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Neural Network Learning and Expert Systems

Neural Network Learning and Expert Systems

  • Author: Stephen I. Gallant,Stephen I.. Gallant
  • Publisher: MIT Press
  • ISBN: 9780262071451
  • Category: Computers
  • Page: 365
  • View: 1315
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presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Hybrid Neural Network and Expert Systems

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Hybrid Neural Network and Expert Systems

Hybrid Neural Network and Expert Systems

  • Author: Larry R. Medsker
  • Publisher: Springer Science & Business Media
  • ISBN: 1461527260
  • Category: Computers
  • Page: 240
  • View: 6315
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Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.

Machine Learning

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Machine Learning

Machine Learning

Neural Networks, Genetic Algorithms, and Fuzzy Systems

  • Author: Hojjat Adeli,Shih-Lin Hung
  • Publisher: John Wiley & Sons Incorporated
  • ISBN: N.A
  • Category: Computers
  • Page: 211
  • View: 3059
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This is the only book to apply neural nets, genetic algorithms, and fuzzy set theory to the fast growing field of machine learning. Placing particular emphasis on neural networks, it explores how to integrate them with other technologies to improve their performance. Examples are included for each system discussed.

Design and Development of Expert Systems and Neural Networks

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Design and Development of Expert Systems and Neural Networks

Design and Development of Expert Systems and Neural Networks

  • Author: Larry Medsker,Jay Liebowitz
  • Publisher: Prentice Hall
  • ISBN: N.A
  • Category: Computers
  • Page: 273
  • View: 7780
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This book gives readers and practitioners the tools they need to develop appropriate applications and systems. It also explores managing and institutionalizing expert system development and usage.

Computer Systems that Learn

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Computer Systems that Learn

Computer Systems that Learn

Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems

  • Author: Sholom M. Weiss,Casimir A. Kulikowski
  • Publisher: Morgan Kaufmann Pub
  • ISBN: N.A
  • Category: Computers
  • Page: 223
  • View: 9850
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This text is a practical guide to classification learning systems and their applications, which learn from sample data and make predictions for new cases. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's point of view.

Neural Networks for Pattern Recognition

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Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition

  • Author: Albert Nigrin
  • Publisher: MIT Press
  • ISBN: 9780262140546
  • Category: Computers
  • Page: 413
  • View: 5574
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In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.

Spatial Analysis and GeoComputation

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Spatial Analysis and GeoComputation

Spatial Analysis and GeoComputation

Selected Essays

  • Author: Manfred M. Fischer
  • Publisher: Springer Science & Business Media
  • ISBN: 3540357300
  • Category: Business & Economics
  • Page: 336
  • View: 8264
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This volume contains selected essays of Manfred M. Fischer in the field of spatial analysis from the perspective of GeoComputation. The volume is structured in four parts, from broad issues in spatial analysis and the role of GIS to computational intelligence technologies such as neural networks. The third part provides the theoretical framework required for adaptive pattern classifiers in remote sensing environments. The final section outlines the latest in neural spatial interaction modeling.

Evolutionary Computation in Economics and Finance

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Evolutionary Computation in Economics and Finance

Evolutionary Computation in Economics and Finance

  • Author: Shu-Heng Chen
  • Publisher: Springer Science & Business Media
  • ISBN: 9783790814767
  • Category: Computers
  • Page: 460
  • View: 4338
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After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

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Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Proceedings of the Eighth International Conference, Melbourne, Australia, June 6-8, 1995

  • Author: Graham F. Forsyth,Moonis Ali
  • Publisher: CRC Press
  • ISBN: 9782884491983
  • Category: Computers
  • Page: 857
  • View: 992
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Artificial Intelligence (AI) is still seen by some as a controversial area of computer science research. This opinion is reinforced by the perception that AI is about the creation of a model of human intelligence in a computer and the fact that this has not yet been done. In fact, this demonstrably false impression of AI is nowhere further from the truth than in the areas of industry and engineering where AI techniques have become the norm in sectors including computer aided design, intelligent manufacturing, and control. AI techniques are fast becoming accepted in industry-related areas such as production of technical documentation, planning and scheduling of processes, fuzzy control and analysis (e.g., parameter extraction) of real-time engineering data. The papers in this volume represent work by both computer scientists and engineers separately and together. They directly and indirectly represent a real collaboration between computer science and engineering, covering a wide variety of fields related to intelligent systems technology ranging from neural networks; knowledge acquisition and representation; automated scheduling; machine learning; multimedia; genetic algorithms; fuzzy logic; robotics; automated reasoning; heuristic searching; automated problem solving; temporal, spatial and model-based reasoning; clustering; blackboard architectures; automated design; pattern recognition and image processing; automated planning; speech recognition; simulated annealing; and intelligent tutoring, as well as various computer applications of intelligent systems including financial analysis, artificial insemination, automated manufacturing, diagnosis, oil discoveries, communications and controls, health delivery, air travel and tourist information processing, and aircraft trajectory planning.

Advances in Signal Processing for Nondestructive Evaluation of Materials

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Advances in Signal Processing for Nondestructive Evaluation of Materials

Advances in Signal Processing for Nondestructive Evaluation of Materials

  • Author: Xavier Maldague
  • Publisher: Springer Science & Business Media
  • ISBN: 9780792327653
  • Category: Computers
  • Page: 493
  • View: 632
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Non-Destructive Evaluation (NDE) is now playing an increasing role in the modern global economy, in security-sensitive industries, for instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully automated signal processing. This book deals with both fields of expertise: NDE and signal processing.