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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Adaptive Resonance Theory (Art): An Introduction, Lucien G. Heins, Daniel R. Tauritz
Adaptive Resonance Theory (Art): An Introduction, Lucien G. Heins, Daniel R. Tauritz
Computer Science Faculty Research & Creative Works
No abstract provided.
Using Fuzzy Set Theory: Exploring How Generalties Can Pinpoint Where To Look For The Answers, Cosmin Radu, Ralph W. Wilkerson
Using Fuzzy Set Theory: Exploring How Generalties Can Pinpoint Where To Look For The Answers, Cosmin Radu, Ralph W. Wilkerson
Computer Science Faculty Research & Creative Works
No abstract provided.
Automatic Pcb Inspection Systems, M. Moganti, Fikret Erçal
Automatic Pcb Inspection Systems, M. Moganti, Fikret Erçal
Computer Science Faculty Research & Creative Works
There are more than 50 process steps required to fabricate a printed circuit board (PCB). To ensure quality, human operators simply inspect the work visually against prescribed standards. The decisions made by this labor intensive, and therefore costly, procedure often also involve subjective judgements. Automatic inspection systems remove the subjective aspects and provide fast, quantitative dimensional assessments. Machine vision may answer the manufacturing industry's need to improve product quality and increase productivity. The major limitation of existing inspection systems is that all the algorithms need a special hardware platform to achieve the desired real-time speeds. This makes the systems extremely …
Relaxing Synchronization In Distributed Simulated Annealing, Bruce M. Mcmillin, Chul-Eui Hong
Relaxing Synchronization In Distributed Simulated Annealing, Bruce M. Mcmillin, Chul-Eui Hong
Computer Science Faculty Research & Creative Works
This paper presents a cost error measurement scheme and relaxed synchronization method, for simulated annealing on a distributed memory multicomputer, which predicts the amount of cost error that an algorithm will tolerate. An adaptive error control method is developed and implemented on an Intel iPSC/2
Using Taguchi''S Method Of Experimental Design To Control Errors In Layered Perceptrons, William E. Bond, Gerald E. Peterson, Daniel C. St. Clair, Stephen R. Aylward
Using Taguchi''S Method Of Experimental Design To Control Errors In Layered Perceptrons, William E. Bond, Gerald E. Peterson, Daniel C. St. Clair, Stephen R. Aylward
Computer Science Faculty Research & Creative Works
A significant problem in the design and construction of an artificial neural network for function approximation is limiting the magnitude and the variance of errors when the network is used in the field. Network errors can occur when the training data does not faithfully represent the required function due to noise or low sampling rates, when the network's flexibility does not match the variability of the data, or when the input data to the resultant network is noisy. This paper reports on several experiments whose purpose was to rank the relative significance of these error sources and thereby find neural …
Using Neural Networks For Aerodynamic Parameter Modeling, Gerald E. Peterson, William E. Bond, Roger Germann, Barry Streeter, James Urnes
Using Neural Networks For Aerodynamic Parameter Modeling, Gerald E. Peterson, William E. Bond, Roger Germann, Barry Streeter, James Urnes
Computer Science Faculty Research & Creative Works
Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of an aircraft's aerodynamics to support advanced flight control systems. These flight control systems, constructed using neural networks and advanced controllers, have the potential to reduce flight control development costs and to improve inflight performance. Neural networks are useful in this situation because they can compactly represent the data and operate in real-time
An Efficient Multicomputer Algorithm For The Solution Of Chemical Process Flowsheeting Equations, Fikret Ercal, Neil L. Book, S. Pait, J. J. Fielding
An Efficient Multicomputer Algorithm For The Solution Of Chemical Process Flowsheeting Equations, Fikret Ercal, Neil L. Book, S. Pait, J. J. Fielding
Computer Science Faculty Research & Creative Works
This paper presents a parallel solution method of large sparse systems of linear equations arising in the context of a chemical process flowsheeting application on a message passing multicomputer. To maximize the performance, the algorithm uses a novel matrix decomposition and solution method, called parallel two-phased LU decomposition, which schedules the concurrent tasks in a maximally overlapping manner, and at the same time, tries to minimize the interprocessor data dependencies and obtain optimal load balancing. The forward elimination step is performed concurrently with the parallel two-phased LU decomposition step and backward substitution is parallelized in a piecewise manner. Implementation results …