Physical Sciences and Mathematics Commons^™

Visual Pattern Recognition Using Neural Networks, Jenlong Moh

Dissertations

Neural networks have been widely studied in a number of fields, such as neural architectures, neurobiology, statistics of neural network and pattern classification. In the field of pattern classification, neural network models are applied on numerous applications, for instance, character recognition, speech recognition, and object recognition. Among these, character recognition is commonly used to illustrate the feature and classification characteristics of neural networks.

In this dissertation, the theoretical foundations of artificial neural networks are first reviewed and existing neural models are studied. The Adaptive Resonance Theory (ART) model is improved to achieve more reasonable classification results. Experiments in applying the …

Exceptions And Exception Handling In Computerized Information Processes, Diane M. Strong, Steven M. Miller

Research Collection School Of Computing and Information Systems

Exceptions, situations that cannot be correctly processed by computer systems, occur frequently in computer-based information processes. Five perspectives on exceptions provide insights into why exceptions occur and how they might be eliminated or more efficiently handled. We investigate these perspectives using an in-depth study of an operating information process that has frequent exceptions. Our results support the use of a total quality management (TQM) approach of eliminating exceptions for some exceptions, in particular, those caused by computer systems that are poor matches to organizational processes. However, some exceptions are explained better by a political system perspective of conflicting goals between …

Critical Success Factors For Organizational Case Success, Chad Strauss

Presidential Scholars Theses (1990 – 2006)

Practitioners and researchers have suggested that Computer Aided Software Engineering (CASE) technology can significantly improve the productivity of systems analysts and the quality of systems development. Before CASE can succeed, however, specific components must exist. This paper explores CASE and the components necessary for its widespread acceptance and use within information systems departments. Specifically, this paper will examine the systems development life cycle (SDLC), the possible benefits of CASE, the current state of CASE, critical success factors for CASE, and finally CASE use.