Browsing by Author "Ham, Fredric"
Now showing items 1-6 of 6
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Extension of the generalized Hebbian algorithm for principal component extraction
Ham, Fredric; Kim, Inho (1998-10-13)Principal component analysis (PCA) plays an important role in various areas. In many applications it is necessary to adaptively compute the principal components of the input data. Over the past several years, there have ... -
Neural network architecture for solving the algebraic matrix Riccati equation
Ham, Fredric; Collins, Emmanuel G. (1996-03-22)This paper presents a neurocomputing approach for solving the algebraic matrix Riccati equation. This approach is able to utilize a good initial condition to reduce the computation time in comparison to standard methods ... -
A Neurocomputing Approach for Monitoring Plinian Volcanic Eruptions Using Infrasound
Ham, Fredric; Iyengar, Ishwarya; Hambebo, Bereket Mathewos; Garcés, Milton A.; Deaton, John E.; Bellesiles, Anna; Williams, Brian (2012-10-03)Plinian volcanic eruptions can inject a substantial amount of volcanic ash and gas into the stratosphere, which can present a severe hazard to commercial air traffic. A hazardous volcanic ash eruption was reported on April ... -
Partial least-squares regression neural network (PLSNET) with supervised adaptive modular learning
Ham, Fredric; Kostanic, Ivica N. (1996-03-22)We present in this paper an adaptive linear neural network architecture called PLSNET. This network is based on partial least-squares (PLS) regression. The architecture is a modular network with stages that are associated ... -
Robust partial least-squares regression: a modular neural network approach
McDowall, Thomas M.; Ham, Fredric (1997-04-04)We have developed a robust Partial Least-Squares Regression (PLSR) neural network approach to statistical calibration model development. Generalized neural network learning rules derived from a weighted statistical ... -
Synthesis of electromagnetic devices with a novel neural network
Delgado, Heriberto Jose; Thursby, Michael H.; Ham, Fredric (2004-04-12)A novel Artificial Neural Network (ANN) is presented, which has been designed for computationally intensive problems, and applied to the optimization of electromagnetic devices such as antennas and microwave devices. The ...