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- Title
- A system for assisting in the determination of geometric similarity between machined cylindrical parts.
- Creator
- Lockard, Alan A. L., Florida Atlantic University, Hoffman, Frederick, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
The costs associated with the design and manufacture of machined components can be significantly reduced by the ability to identify and group similar parts. This activity is generally accomplished by assigning each part a Group Technology code number based on its most significant characteristics. Attempts to accomplish this are hindered by: the relatively small amount of information that can be encoded in a code of manageable length, inconsistencies in human interpretation of design and...
Show moreThe costs associated with the design and manufacture of machined components can be significantly reduced by the ability to identify and group similar parts. This activity is generally accomplished by assigning each part a Group Technology code number based on its most significant characteristics. Attempts to accomplish this are hindered by: the relatively small amount of information that can be encoded in a code of manageable length, inconsistencies in human interpretation of design and manufacturing data, the commitment of resources required to review and encode all candidate components at a facility, and the heuristic nature of determining what constitutes significant similarity for any particular application. These problems are addressed by the development of a system that assists in the determination of similarity by comparing CAD (Computer Aided Design) files, rather than Group Technology codes, in a manufacturing oriented frame-based system.
Show less - Date Issued
- 1989
- PURL
- http://purl.flvc.org/fcla/dt/14497
- Subject Headings
- Computer-aided design, Machine parts, Group technology, Manufacturing processes--Data processing
- Format
- Document (PDF)
- Title
- Transforming directed graphs into uncertain rules.
- Creator
- Lantigua, Jose Salvador., Florida Atlantic University, Hoffman, Frederick, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
The intent of this thesis is to show how rule structures can be derived from influence diagrams and how these structures can be mapped to existing rule-based shell paradigms. We shall demonstrate this mapping with an existing shell having the Evidence (E) --> Hypothesis (H), Certainty Factor (CF) paradigm structure. Influence diagrams are graphical representations of hypothesis to evidence, directed forms of Bayesian influence networks. These allow for inferencing about both diagnostic and...
Show moreThe intent of this thesis is to show how rule structures can be derived from influence diagrams and how these structures can be mapped to existing rule-based shell paradigms. We shall demonstrate this mapping with an existing shell having the Evidence (E) --> Hypothesis (H), Certainty Factor (CF) paradigm structure. Influence diagrams are graphical representations of hypothesis to evidence, directed forms of Bayesian influence networks. These allow for inferencing about both diagnostic and predictive (or causal) behavior based on uncertain evidence. We show how this can be implemented through a Probability (P) to CF mapping algorithm and a rule-set conflict resolution methodology. The thesis contains a discussion about the application of probabilistic semantics from Bayesian networks and of decision theory, to derive qualitative assertions about the likelihood of an occurrence; the sensitivity of a conclusion; and other indicators of usefulness. We show an example of this type of capability by the addition of a probability range function for the premise clause in our shell's rule structure.
Show less - Date Issued
- 1989
- PURL
- http://purl.flvc.org/fcla/dt/14570
- Subject Headings
- Decision-making--Mathematical models, Probabilities, Expert systems (Computer science)
- Format
- Document (PDF)
- Title
- DESIGN/IMPLEMENTATION OF AN EXPERT SYSTEM USING A DATA BASE MANAGEMENT SYSTEM ARCHITECTURE IN DEVELOPMENT OF ITS INFERENCE ENGINE.
- Creator
- LABOONE, PERRY ALLEN., Florida Atlantic University, Hoffman, Frederick, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
The subject of this thesis is the design and implement at ion of an expert system from a standard data base management software language. The advantages and limitations of such a system design are discussed and supported by an accompanying implementation. Both, the design and implementation, demonstrate what gives the expertise or personification of human reasoning to a machine and why this type of reasoning is well suited to certain types of problems. This fundamental departure from...
Show moreThe subject of this thesis is the design and implement at ion of an expert system from a standard data base management software language. The advantages and limitations of such a system design are discussed and supported by an accompanying implementation. Both, the design and implementation, demonstrate what gives the expertise or personification of human reasoning to a machine and why this type of reasoning is well suited to certain types of problems. This fundamental departure from traditional deterministic analytical problem solving is accomplished by developing a system that is heuristic in nature. This heuristic implementation provides for a system that assists in the development of an emerging solution, rather than a deterministic solution in and of itself (i.e., a system that is programmed with a set of meta-knowledge rules that governs the decision making process and acts upon a second set of knowledge rules).
Show less - Date Issued
- 1986
- PURL
- http://purl.flvc.org/fcla/dt/14349
- Subject Headings
- Expert systems (Computer science), Systems design
- Format
- Document (PDF)
- Title
- A graphical approach to the traveling salesman problem.
- Creator
- Garrett, Randy L., Florida Atlantic University, Hoffman, Frederick, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
This report details an approach to solving the Traveling Salesman Problem (TSP) using learning automata and a unique geometric approach. Two-dimensional Euclidean TSPs are considered and the type of learning automata used are commonly called neural networks. A standard neural net algorithm called back propagation proved to be fairly good at learning the sample figures, but a newer substitute for back propagation, called counter propagation, performed extremely well. An important goal of this...
Show moreThis report details an approach to solving the Traveling Salesman Problem (TSP) using learning automata and a unique geometric approach. Two-dimensional Euclidean TSPs are considered and the type of learning automata used are commonly called neural networks. A standard neural net algorithm called back propagation proved to be fairly good at learning the sample figures, but a newer substitute for back propagation, called counter propagation, performed extremely well. An important goal of this research was to derive increased theoretical understanding of the TSP. This goal has been satisfied, especially with regard to instabilities in path length and the order of points traversed along the minimal path route. In addition, some applications to larger point problems are considered, and it is shown that configurations with isolated clusters of relatively closely spaced points relative to the convex hull apexes and the fixed points map quite well into the geometric figures presented here.
Show less - Date Issued
- 1989
- PURL
- http://purl.flvc.org/fcla/dt/11939
- Subject Headings
- Traveling-salesman problem
- Format
- Document (PDF)