Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- ART2 (1)
- Active Filtering (1)
- Active Filters (1)
- Classification (1)
- Commuting (1)
-
- Compatible (1)
- Compensation (1)
- Current Compensation (1)
- D-complete topological spaces (1)
- Fixed points (1)
- Harmonic Distortion (1)
- Harmonic Pollution (1)
- ID3 (1)
- Learning (1)
- Modeling (1)
- Neural network (1)
- Non-self maps (1)
- Pairs of mappings (1)
- Power Convertors (1)
- Power Electronic Devices (1)
- Power Filters (1)
- Power Supply Quality (1)
- Power System Harmonics (1)
- Research (1)
- SOM (1)
- Supply Harmonics (1)
- Survey (1)
- Technological Developments (1)
- Unsupervised learning (1)
Articles 1 - 5 of 5
Full-Text Articles in Mathematics
Computing Χ² Values, John F. Dooley, Daniel C. St Clair, William E. Bond
Computing Χ² Values, John F. Dooley, Daniel C. St Clair, William E. Bond
Mathematics and Statistics Faculty Research & Creative Works
Textbooks and courses on numerical algorithms contain numerous examples which lead students to believe that the algorithm of choice for computing the zeros of a function f1994 is Newton's algorithm. In many of these courses little or no time is spent in providing students with "real world" experiences where Newton's method fails. The work presented in this paper describes a slow convergence problem encountered while trying to use Newton to estimate values for the 2 distributions. The problem occurred while the authors were trying to implement a well-known machine learning algorithm from the field of artificial intelligence. The function being …
Classification Characteristics Of Som And Art2, J. J. Aleshunas, Daniel C. St. Clair, William E. Bond
Classification Characteristics Of Som And Art2, J. J. Aleshunas, Daniel C. St. Clair, William E. Bond
Mathematics and Statistics Faculty Research & Creative Works
Artificial neural network algorithms were originally designed to model human neural activities. They attempt to recreate the processes involved in such activities as learning, short term memory, and long-term memory. Two widely used unsupervised artificial neural network algorithms are the Self-Organizing Map (SOM) and Adaptive Resonance Theory (ART2). Each was designed to simulate a particular biological neural activity. Both can be used as unsupervised data classifiers. This paper compares performance characteristics of two unsupervised artificial neural network architectures; the SOM and the ART2 networks. The primary factors analyzed were classification accuracy, sensitivity to data noise, and sensitivity of the algorithm …
Using The Id3 Symbolic Classification Algorithm To Reduce Data Density, Barry Fiachsbart, Daniel C. St. Clair, Jeff Holland
Using The Id3 Symbolic Classification Algorithm To Reduce Data Density, Barry Fiachsbart, Daniel C. St. Clair, Jeff Holland
Mathematics and Statistics Faculty Research & Creative Works
Effective data reduction is mandatory for modeling complex domains. The work described here demonstrates how to use a symbolic classifier algorithm from machine learning to effectively reduce large amounts of data. The algorithm, Quirdan's ID3, uses input data records and corresponding classifications to produce a decision tree. The resulting tree can be used to classify previously unseen inputs. Alternatively, the attributes found in the tree can be used as the basis to develop other system modeling techniques such as neural networks or mathematical programming algorithms. This approach has been used to effectively reduce data from a large complex domain. The …
Elimination Of Supply Harmonics: An Evolution Of Current Compensation And Active Filtering Methods, Stephen L. Clark, P. Famouri, W. L. Cooley
Elimination Of Supply Harmonics: An Evolution Of Current Compensation And Active Filtering Methods, Stephen L. Clark, P. Famouri, W. L. Cooley
Mathematics and Statistics Faculty Research & Creative Works
The price of the extensive use of power electronic devices is becoming clear: increasing harmonic "pollution." This survey takes a brief look at background information related to harmonics, including their sources, effects, and characteristics. Then, the evolution of the harmonics elimination approaches of current compensation and active filtering, which are becoming more feasible due to research and technological improvements, are discussed in order to give some insight into the directions that research is taking.
Fixed Point Theorems For Non-Self Maps I, Troy L. Hicks, Unda Marie Sauga
Fixed Point Theorems For Non-Self Maps I, Troy L. Hicks, Unda Marie Sauga
Mathematics and Statistics Faculty Research & Creative Works
Suppose f:C→X where C is a closed subset of X. Necessary and sufficient conditions are given for f to have a fixed point. All results hold when X is complete metric space. Several results hold in a much more general setting. © 1994, Hindawi Publishing Corporation. All rights reserved.