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- W1539779854 abstract "A novel family of artificial neural networks (ANNs), Statistica, has been developed to estimate the statistical bounds of normally-distributed, multiple-time sampled data. These networks utilize bilinear error cost functions that provide rapid, uniform convergence to the desired statistical bounds. Preliminary simulations using Statistica on two- and three-dimensional datasets clearly demonstrate the bounding capabilities of this ANN. Extensions to higher dimensional datasets are currently underway. Potential applications of Statistica include establishing confidence bounds for time-series forecasts and bounding gain trajectories in adaptive control systems." @default.
- W1539779854 created "2016-06-24" @default.
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- W1539779854 date "2002-11-19" @default.
- W1539779854 modified "2023-09-27" @default.
- W1539779854 title "Statistica: artificial neural networks for statistical data bounding" @default.
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- W1539779854 doi "https://doi.org/10.1109/cca.1995.555786" @default.
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