Intelligent Systems Technology and Applications Six Volume Set 1st Edition by Cornelius Leondes 9781420040814 1420040812
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ISBN 10: 1420040812
ISBN 13: 9781420040814
Author: Cornelius T. Leondes
Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987.Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
Table of contents:
Chapter 1. The Quest for the Intelligent Machine
Chapter 2. Soft Computing Framework for Intelligent Human-Machine System Design, Simulation, and Opt
Chapter 3. Visualization and Modeling for Intelligent Systems
Chapter 4. Online Adaptation of Intelligent Decison-Making Systems
Chapter 5. Knowledge-Intensive Collaborative Design Modeling and Decision Support Using Distributed
Chapter 6. A Multi-Agent Framework for Collaborative Reasoning
Chapter 7. Architecting Multi-Agent Sytems: A Middleware Perspective
Chapter 8. Applied Intelligent Techniques in Assisted Surgery Planning
Chapter 9. Intelligent Software Systems for CNC Machining
Chapter 10. Intelligent Systems Techniques and Application in Product Forecasting
Chapter 11. Neural Network Systems and Their Applications in Software Sensor Systems for Chemical an
Chapter 12. From Simple Graphs to Powerful Knowledge Representation: The Concceptual Graph Formalism
Chapter 13. Autonomous Mental Development by Robots: Vision, Audition, and Behaviors
Chapter 1. Neural Network Techniques and Their Engineering Applications
Chapter 2. Recurrent Neural Fuzzy Network Techniques and Applications
Chapter 3. Neural Network Systems Techniques and Applications in Signal Processing
Chapter 4. Neural Network and Fuzzy Control Techniques for Robotic Systems
Chapter 5. Processing of Linguistic Symbols in a Multi-Level Neural Network
Chapter 6. Applied Fuzzy Intelligence System: Fuzzy Batching of Bulk Material
Chapter 7. Techniques for Designing and Regining Linguistic Fuzzy Models to Improve Their Accuracy*
Chapter 8. GA-FRB: A Novel GA-Optimized Fuzzy Rule System
Chapter 9. Fuzzy Cellular Automata and Fuzzy Sequential Circuits
Chapter 10. PACL-FINNS: A Novel Class of Falcon-Like Fuzzy Neural Networks Based on Positive and Neg
Chapter 11. Maximum Margin Fuzzy Classsifiers with Ellipsoidal Regions
Chapter 12. Neural Networks: Techniques and Applications in Telecommunications Systems
Chapter 13. A Fuzzy Temporal Rule-Based Approach for the Design of Behaviors in Mobile Robotics
Chapter 1. Artifical Intelligence Systems Techniques and Application in Speech Processing
Chapter 2. Fuzzy Theory, Methods, and Applications in Nonlinear Signal Processing
Chapter 3. Intelligent System Modeling of Bioacoustic Signals Using Advanced Signal Processing Techn
Chapter 4. Automatic Recognition of Multichannel EEG Signals Using a Committee of Artifical Neural N
Chapter 5. Morphological Color Image Processing: Theory and Applications
Chapter 6. The Future of Artifical Neural Networks and Speech Recognition
Chapter 7. Advanced Neural-Based Systems for 3D Scene Understanding
Chapter 8. Shape Representation and Automatic Model Inference in Character Recognition Systems
Chapter 9. Novel Noise Modeling Using AI Techniques
Chapter 1. Model Selection in Knowledge Discovery and Data Mining
Chapter 2. Mining Chaotic Patterns in Relational Databases and Rule Extraction by Neural Networks
Chapter 3. Topological Relations in Spatial Databases
Chapter 4. Intelligent Image Retrieval for Supporting Concept-Based Queries: A Knowledge-Based Appro
Chapter 5. The Techniques and Experiences of Integrating Deductive Database Management Systems and I
Chapter 6. A Method for Fuzzy Query Processing in Relational Database Systems
Chapter 7. A Method for Generating Fuzzy Rules from Relational Database Systems for Estimating Null
Chapter 8. Adaptation of Cluster Sizes in Objective Function Based Fuzzy Clustering
Chapter 9. Learnin Rules about the Development of Variables over Time
Chapter 10. Integrating Adaptive and Intelligent Techniques into a Web-Based Environment for Active
Chapter 11. The System Perspective of an Intelligent Tutoring System Based on the Inquiry Teaching A
Chapter 12. An Intelligent Educational Metadata Repository
Chapter 1. Integrated Intelligent Systems inthe Design of Products and Processes
Chapter 2. Intelligent System Techniques in Secure Identification and Communication in Distributed M
Chapter 3. Concurrent Engineering (CE) Product Design
Chapter 4. Intelligent Systems Techniques and Applications in Mulit-Product Batch Processing Systems
Chapter 5. Artificial Intelligence Techniques in Forecasting Applications
Chapter 6. An Agent Approach for Intelligent Business Forecasting
Chapter 7. Neural Networks and their Application to Chemical and Process Systems
Chapter 8. Fuzzy Theory, Techniques, and Applications in Non-Linear Chemical Processes
Chapter 9. Reinforcement Learning Applications to Process Control and Optimization
Chapter 10. Analyzing the Make-or-Buy Decision in the Autmobile Industtry Using the Fuzzy Analytic H
Chapter 11. The Digital Factory Becomes Reality
Chapter 12. Automated Inspection of Printed Circuit Boards
Chapter 13. Neural Network Techniques and Applications in Chemical Process Control Systems
Chapter 1. Power System Stabilizers Based On Adaptive Control and Artifical Intelligence Techniques
Chapter 2. Machine Learning Applied to Power System Dynamic Security Assessment
Chapter 3. Knowledge-Based Systems Techniques and Application in Power System Control Centers
Chapter 4. Intelligent Fault Diagnosis in Power Systems
Chapter 5. Application of Intelligent Computing for Short Term and Online Electric Load Forecasting
Chapter 6. Intelligent Multiagent Control for Power Plants
Chapter 7. Applying Architectural Patterns to the Design of Supervisory Control Systems
Chapter 8. Feature-Based Integrated Design of Fuzzy Control Systems
Chapter 9. Intelligent Controllers for Flexible Pole Cart Balancing Problem
Chapter 10. A Contol Architecture for Mobile Robotics Based on Specialists
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Tags: Cornelius Leondes, Intelligent, Technology, Applications