Artificial Intelligence and Expert Systems for EngineersThis book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general. |
Other editions - View all
Artificial Intelligence and Expert Systems for Engineers C.S. Krishnamoorthy,S. Rajeev Limited preview - 2018 |
Artificial Intelligence and Expert Systems for Engineers C.S. Krishnamoorthy,S. Rajeev Limited preview - 2018 |
Common terms and phrases
algorithm application approach architecture Artificial Intelligence assigned attributes backward chaining beam blackboard blackboard system case-based reasoning CASETOOL Chapter classification column components considered constraints context crack critiquing knowledge decomposition tree DEKBASE design process design synthesis domain knowledge engineering design environment evaluation example expert system floor system forward chaining frame base framework GENCRIT Genetic Algorithms GENSYNT goal stack heuristic hierarchical Icl spacing IF(rating inference engine inference mechanisms inference process input instance integrated interaction KBES knowledge base knowledge engineer knowledge representation knowledge sources knowledge-based systems layout length methodologies modified module node optimisation planning predicate logic preliminary design problem solving procedural programs procedures process model production rules programs purlin relevance represented retrieval rule base rule stack selected shaft shown in Figure situation slot solution transformation specified stage stored strategy structural system subsystems tasks variable
References to this book
Computer Aided and Integrated Manufacturing Systems: Intelligent systems ... No preview available - 2003 |