Intelligent systems for engineers and scientists. (©2001)
- Record Type:
- Book
- Title:
- Intelligent systems for engineers and scientists. (©2001)
- Main Title:
- Intelligent systems for engineers and scientists
- Further Information:
- Note: Adrian A. Hopgood.
- Other Names:
- Hopgood, Adrian A
- Contents:
- INTRODUCTION; Intelligent Systems; Knowledge-Based Systems; The Knowledge Base; Deduction, Abduction, and Induction; The Inference Engine; Declarative and Procedural Programming; Expert Systems; Knowledge Acquisition; Search; Computational Intelligence; Integration with other Software; RULE-BASED SYSTEMS; Rules and Facts; A Rule-Based System for Boiler Control; Rule Examination and Rule Firing; Maintaining Consistency; The Closed-World Assumption; Use of Variables within Rules; Forward-Chaining; Conflict Resolution; Backward-Chaining; A Hybrid Strategy; Explanation Facilities; DEALING WITH UNCERTAINTY; Sources of Uncertainty; Bayesian Updating; Certainty Theory; Fuzzy Logic; Other Techniques; OBJECT-ORIENTED SYSTEMS; Objects and Frames; An Illustrative Example; Introducing OOP; Data Abstraction; Inheritance; Encapsulation; Unified Modeling Language (UML); Dynamic (or late) Binding; Message Passing and Function Calls; Type Checking; Further Aspects of OOP; Frame-Based Systems; INTELLIGENT AGENTS; Characteristics of an Intelligent Agent; Agents and Objects; Agent Architectures; Multiagent Systems; SYMBOLIC LEARNING; Introduction; Learning by Induction; Case-Based Reasoning; OPTIMIZATION ALGORITHMS; Optimization; The Search Space; Searching the Search Space; Hill-Climbing and Gradient Descent Algorithms; Simulated Annealing; Genetic Algorithms; NEURAL NETWORKS; Introduction; Neural Network Applications; Nodes and Interconnections; Single and Multilayer Perceptrons; The HopfieldINTRODUCTION; Intelligent Systems; Knowledge-Based Systems; The Knowledge Base; Deduction, Abduction, and Induction; The Inference Engine; Declarative and Procedural Programming; Expert Systems; Knowledge Acquisition; Search; Computational Intelligence; Integration with other Software; RULE-BASED SYSTEMS; Rules and Facts; A Rule-Based System for Boiler Control; Rule Examination and Rule Firing; Maintaining Consistency; The Closed-World Assumption; Use of Variables within Rules; Forward-Chaining; Conflict Resolution; Backward-Chaining; A Hybrid Strategy; Explanation Facilities; DEALING WITH UNCERTAINTY; Sources of Uncertainty; Bayesian Updating; Certainty Theory; Fuzzy Logic; Other Techniques; OBJECT-ORIENTED SYSTEMS; Objects and Frames; An Illustrative Example; Introducing OOP; Data Abstraction; Inheritance; Encapsulation; Unified Modeling Language (UML); Dynamic (or late) Binding; Message Passing and Function Calls; Type Checking; Further Aspects of OOP; Frame-Based Systems; INTELLIGENT AGENTS; Characteristics of an Intelligent Agent; Agents and Objects; Agent Architectures; Multiagent Systems; SYMBOLIC LEARNING; Introduction; Learning by Induction; Case-Based Reasoning; OPTIMIZATION ALGORITHMS; Optimization; The Search Space; Searching the Search Space; Hill-Climbing and Gradient Descent Algorithms; Simulated Annealing; Genetic Algorithms; NEURAL NETWORKS; Introduction; Neural Network Applications; Nodes and Interconnections; Single and Multilayer Perceptrons; The Hopfield Network; MAXNET; The Hamming Network; Adaptive Resonance Theory (ART) Networks; Kohonen Self-Organizing Networks; Radial Basis Function Networks; HYBRID SYSTEMS; Convergence of Techniques; Blackboard Systems; Genetic-Fuzzy Systems; Neuro-Fuzzy Systems; Genetic Neural Systems; Clarifying and Verifying Neural Networks; Learning Classifier Systems; TOOLS AND LANGUAGES; A Range of Intelligent Systems Tools; Expert System Shells; Toolkits and Libraries; Artificial Intelligence Languages; Lisp; Prolog; Comparison of AI Languages; SYSTEMS FOR INTERPRETATION AND DIAGNOSIS; Introduction; Deduction and Abduction for Diagnosis; Depth of Knowledge; Model-Based Reasoning; Case Study: A Blackboard System for Interpreting Ultrasonic Images; SYSTEMS FOR DESIGN AND SELECTION; The Design Process; Design as a Search Problem; Computer Aided Design; The Product Design Specification (PDS); Conceptual Design; Constraint Propagation and Truth Maintenance; Case Study: The Design of a Lightweight Beam; Design as a Selection Exercise; Failure Mode and Effects Analysis (FMEA); SYSTEMS FOR PLANNING; Introduction; Classical Planning Systems; STRIPS; Considering the Side Effects of Actions; Hierarchical Planning; Postponement of Commitment; Job-Shop Scheduling; Constraint-Based Analysis; Replanning and Reactive Planning; SYSTEMS FOR CONTROL; Introduction; Low-Level Control; Requirements of High-Level (Supervisory) Control; Blackboard Maintenance; Time-Constrained Reasoning; Fuzzy Control; The BOXES Controller; Neural Network Controllers; Statistical Process Control (SPC); CONCLUDING REMARKS; Benefits; Information; Trends; INDEX … (more)
- Edition:
- 2nd ed
- Publisher Details:
- Boca Raton, Fla : CRC Press
- Publication Date:
- 2001
- Copyright Date:
- 2001
- Extent:
- 1 online resource (467 pages), illustrations
- Subjects:
- 006.3/3/02462
Expert systems (Computer science)
Computer-aided engineering
COMPUTERS -- Expert Systems
Computer-aided engineering
Expert systems (Computer science)
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 0849304563
9780849304569
1420042025
9781420042023 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.163474
- Ingest File:
- 01_039.xml